Multi-character continuous handwriting input method

A multi-character continuous handwriting input method where a character is written on a touch unit and after an i th character is written, an (i+1) th character is written in an overlapping manner on the i th character. When a user is writing, it is determined whether a current stroke belongs to the i th character or (i+1) th character; if it is the (i+1) th character, the display color of the i th character is dimmed automatically, so that the user clearly sees the newly written character on a display screen. Multiple characters can be written continuously without pauses and when an (i+2) th character is written, the i th character disappears automatically from the screen, and the color of the (i+1) th character is dimmed automatically. Thus, the ability to continuously write multiple handwritten characters on a screen and the corresponding recognition and display processing significantly improves the input efficiency of handwritten text.

Method and system for ink data generation, ink data rendering, ink data manipulation and ink data communication

A method implemented by a transmission device to communicate with multiple reception devices that respectively share a drawing area with the transmission device is provided. The transmission device transmits to the multiple reception devices vector-data ink data representative of traces of input operation detected by an input sensor of the transmission device. The method includes: (a) an ink data generation step of generating fragmented data of a stroke object, wherein the stroke object contains multiple point objects to represent a trace formed by a pointer, the fragmented data being generated per defined unit T, and generating a drawing style object; (b) a message formation step of generating messages including the drawing style object and the fragmented data; and (c) a transmission step of transmitting the messages.

Steering Seismic Texture Analysis Algorithms Using Expert Input

A method is provided, the method including: displaying an image on a display; detect a user input corresponding to one or more portions of the image; analyzing the user input to determine at least one feature vector corresponding to the user input; and determining a classification for the one or more portions of the image based at least on the at least one feature vector.

Display apparatus, the method thereof and item providing method

Provided is a display apparatus including: a display; an input unit configured to receive a trace of writing performed in a remote control apparatus; a detector configured to extract at least one character corresponding to the trace of writing; and a controller configured to search for at least one item corresponding to the character from among a plurality of items stored in a storage of the display apparatus or provided from at least one external server, and display a result of the search on the display.

Electronic apparatus and method

According to one embodiment, an electronic apparatus includes a processor and a display controller. The processor inputs handwritten strokes. The display controller displays a first and second character in a font size, the first character corresponding to a first handwritten character detected from the strokes, the second character corresponding to a second handwritten character detected from the strokes, the font size determined based on a combination of an attribute of the first character and a size of at least one stroke of the first handwritten character or a combination of an attribute of the second character and a size of at least one stroke of the second handwritten character.

Smoothing and gpu-enabled rendering of digital ink

Systems, methods, and computer-readable storage media are provided for efficient real-time ink stroke smoothing, trajectory prediction, and GPU-leveraged rendering of ink stroke input. First and second ink points are received and an active Bézier approximation is computed based thereupon. Sequentially later in time that the first and second ink points, a third ink point is received. It is determined whether the third ink point adequately fits the active Bézier approximation. Where it is determined that the third ink point adequately fits, an updated active Bézier approximation is computed that includes the first, second and third ink points. Where it is determined that the third ink point fails to adequately fit, a different new Bézier approximation is computed that includes the third ink point but not the first and second ink points. Leveraging a GPU, a smoothed ink stroke based upon the Bézier approximation(s) is rendered.

Wet ink predictor

Systems and methods are provided for improving the latency for display of ink during user creation of ink content with an object, such as a stylus, mouse, finger (or other touch input), or other drawing device. In order to reduce or minimize the time for display of ink content created by a user, aspects of the technology described herein generate predictive wet ink that can be displayed with actual wet ink. The predictive wet ink is calculated by extending an active ink segment a predictive distance. The predictive distance is intended to be a distance between a termination ink point for an active wet ink segment and a tip of the writing object. In one aspect, the predictive distance is calculated by determining the current latency period on a touch device and the velocity of the writing object.

Method and system for csi-based fine-grained gesture recognition

The invention provides a method for CSI-based fine-grained gesture recognition, wherein the method comprises the following steps: determining a start point, an end point, a velocity, a direction and/or an inflection point of at least one stroke gesture in multiple dimensions according to an eigenvalue of channel state information; dividing the strokes according to the start point, the end point, the velocity, the direction and/or the inflection point of the stroke using a machine learning method and forming a stroke sequence; building a stroke decipherment model according to frequencies of the strokes appearing in natural language rules and/or scientific language rules and/or connection rules between the strokes; and dividing and recognizing the stroke sequence as a letter sequence, a radical sequence, a numeral sequence and/or a pattern sequence conforming to the natural language rules and/or the scientific language rules using the stroke decipherment model. The present invention involves recognizing strokes of characters from finger gesture, and then recovering characters from the strokes, so as to enrich types of languages that can be recognized from finger gesture and enhance recognition accuracy of gesture writing.

Method and system for replaying a voice message and displaying a signed digital photograph contemporaneously

Disclosed are methods and systems for generating digital memorabilia including: providing a digital memorabilia signor with a digital photograph, a digital sports jersey, or a combination thereof; receiving at least one of an electronic signature or an electronic written message from the digital memorabilia signor to be embedded in the digital photograph, the digital sports jersey, or the combination thereof; embedding the at least one of an electronic signature or an electronic written message from the digital memorabilia signor into the digital photograph, the digital sports jersey, or a combination thereof to form the generated digital memorabilia; sending the generated digital memorabilia including the electronic signature and the electronic written message to a verification service to verify authenticity of the electronic signature and electronic written message in the generated digital memorabilia; and delivering the generated memorabilia to a digital receiver.

METHOD FOR GENERATING A HANDWRITING VECTOR

One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file. 1. A method comprising: accessing a handwriting sample comprising a set of user glyphs handwritten by a user and representing a set of characters;', identifying a subset of user glyphs, in the handwriting sample, corresponding to the character;', 'characterizing variability of a set of spatial features across the subset of user glyphs; and', 'storing variability of the set of spatial features across the subset of user glyphs in a character container, in a set of character containers, corresponding to the character;, 'for each character in the set of characters, 'compiling the set of character containers into a handwriting model associated with the user; and, 'during a first period accessing a text string comprising a combination of characters in the set of characters;', 'for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph, in a set of synthetic glyphs, representing the character; and', 'assembling the set of synthetic glyphs into a print ...

SIMULATED HANDWRITING IMAGE GENERATOR

Techniques are provided for generating a digital image of simulated handwriting using an encoder-decoder neural network trained on images of natural handwriting samples. The simulated handwriting image can be generated based on a style of a handwriting sample and a variable length coded text input. The style represents visually distinctive characteristics of the handwriting sample, such as the shape, size, slope, and spacing of the letters, characters, or other markings in the handwriting sample. The resulting simulated handwriting image can include the text input rendered in the style of the handwriting sample. The distinctive visual appearance of the letters or words in the simulated handwriting image mimics the visual appearance of the letters or words in the handwriting sample image, whether the letters or words in the simulated handwriting image are the same as in the handwriting sample image or different from those in the handwriting sample image. 1. A computer-implemented method for simulating handwriting , the method comprising:extracting, by at least one processor using a neural network, a style description vector from an image of a handwriting sample, the style description vector representing a style of a first sequence of characters in at least a portion of the image of the handwriting sample; andgenerating, by the at least one processor using the neural network, an image of simulated handwriting based on the style description vector and a variable length coded text input having a second sequence of characters, the image of simulated handwriting containing the second sequence of characters in the style of the first sequence of characters;wherein the second sequence of characters includes one or more new characters that were not included in the first sequence of characters.2. The method of claim 1 , further comprising causing the image of simulated handwriting to be displayed on a display.3. The method of claim 1 , wherein the style description vector is a ...

DIGITAL INK PROCESSING SYSTEM, METHOD, AND PROGRAM

A digital ink processing system, method, and program are provided that are capable of presenting, to a user, useful and highly relevant information as a search result when a search is performed using digital ink. A processor included in a tablet enables a pointing operation of an electronic pen relative to a stroke or strokes. The processor, after enabling the pointing operation of the electronic pen, performs a search for content related to a semantic attribute of the stroke or strokes pointed at, or requests an external server to perform the search. The processor performs control so as to display the related content retrieved by the search on a display with the stroke or strokes. 1. A digital ink processing system comprising:an electronic pen; anda tablet that generates digital ink describing a stroke or strokes according to an input made by the electronic pen through a display, wherein the tablet includes a processor thatenables a pointing operation of the electronic pen relative to the stroke or strokes,after enabling the pointing operation of the electronic pen relative to the stroke or strokes, performs a search for content related to a semantic attribute of the stroke or strokes pointed at, or requests an external server to perform the search, andperforms control so as to display content retrieved by the search on the display with the stroke or strokes.2. The digital ink processing system according to claim 1 , wherein the processor performs control so as to cause the stroke or strokes for which the pointing operation has been enabled to be highlighted on the display as compared to before the enablement.3. The digital ink processing system according to claim 1 , wherein the processor enables the pointing operation of the electronic pen relative to the stroke or strokes to which the semantic attribute has been assigned.4. The digital ink processing system according to claim 3 , further comprising:a digital ink server that analyzes the digital ink transmitted ...

Paper Strip Presentation Of Grouped Content

A system and a method are disclosed for displaying content collected in a pen-based computing system. Content collected in the pen-based computing system includes stroke data collected by a smart pen as well as other contextual data collected by the pen-based computing system. The collected stroke data are grouped into snippets and used to create paper strips. Paper strips are arranged based on metadata associated with the collected content.

Gesture recognition using gesture elements

Aspects of the present disclosure provide a gesture recognition method and an apparatus for capturing gesture. The apparatus categorizes the raw data of a gesture into gesture elements, and utilizes the contextual dependency between the gesture elements to perform gesture recognition with a high degree of accuracy and small data size. A gesture may be formed by a sequence of one or more gesture elements.

Sketch Recognition System

Handwriting interpretation tools, such as optical character recognition (OCR), have improved over the years such that OCR is a common tool in business for interpreting typed text and sometimes handwritten text. OCR does not apply well to non-text-only diagrams, such as chemical structure diagrams. A method according to an embodiment of the present invention of interpreting a human-drawn sketch includes determining a local metric indicating whether a candidate symbol belongs to a certain classification based on a set of features. The set of features includes, as a feature, scores generated from feature images of the candidate symbol. Also included is determining a joint metric of multiple candidate symbols based on their respective classifications and interpreting the sketch as a function of the local and joint metrics. Sketches can be chemical composition, biological composition, electrical schematic, mechanical, or any other science- or engineering-based diagrams for which human-drawn symbols have well-known counterparts.

METHOD FOR TRAINING ADVERSARIAL NETWORK MODEL, METHOD FOR BUILDING CHARACTER LIBRARY, ELECTRONIC DEVICE, AND STORAGE MEDIUM

The present disclosure discloses a method for training an adversarial network model, a method for building a character library, an electronic device and a storage medium, which relate to a field of artificial intelligence, in particular to a field of computer vision and deep learning technologies, and are applicable in a scene of image processing and image recognition. The method for training includes: generating a new character by using the generation model based on a stroke character sample and a line character sample; discriminating a reality of the generated new character by using the discrimination model; calculating a basic loss based on the new character and a discrimination result; calculating a track consistency loss based on a track consistency between the line character sample and the new character; and adjusting a parameter of the generation model according to the basic loss and the track consistency loss. 1. A method for training an adversarial network model , the adversarial network model comprising a generation model and a discrimination model , and the method comprising:generating a new character by using the generation model based on a stroke character sample having a writing feature and a line and a line character sample having a line;discriminating a reality of the generated new character by using the discrimination model;calculating a basic loss based on the new character generated by the generation model and a discrimination result from the discrimination model;calculating a track consistency loss based on a track consistency between the line of the line character sample and the line of the new character; andadjusting a parameter of the generation model according to the basic loss and the track consistency loss.2. The method according to claim 1 , wherein each of the line character sample and the new character is an image of a character claim 1 , and the calculating the track consistency loss comprises:calculating a difference image between the ...

Feature calculation device and method and computer program product

According to an embodiment, a feature calculation device includes a procurement controller, a first calculator, an extraction controller, a second calculator, and an integrating controller. The procurement controller obtains a plurality of strokes. The first calculator calculates, for each of the plurality of strokes, a stroke feature quantity related to a feature of the stroke. The extraction controller extracts, for each of the plurality of strokes, from the plurality of strokes, one or more neighboring strokes. The second calculator calculates, for each of the plurality of strokes, a combinational feature quantity based on a combination of the stroke and the one or more neighboring strokes. The integrating controller generates, for each of the plurality of strokes, an integrated feature quantity by integrating the stroke feature quantity and the combinational feature quantity.

Simulated handwriting image generator

Techniques are provided for generating a digital image of simulated handwriting using an encoder-decoder neural network trained on images of natural handwriting samples. The simulated handwriting image can be generated based on a style of a handwriting sample and a variable length coded text input. The style represents visually distinctive characteristics of the handwriting sample, such as the shape, size, slope, and spacing of the letters, characters, or other markings in the handwriting sample. The resulting simulated handwriting image can include the text input rendered in the style of the handwriting sample. The distinctive visual appearance of the letters or words in the simulated handwriting image mimics the visual appearance of the letters or words in the handwriting sample image, whether the letters or words in the simulated handwriting image are the same as in the handwriting sample image or different from those in the handwriting sample image.

Text input for abugida writing systems with conjuncts

Disclosed embodiments pertain to a method on a Mobile Station (MS) for input of text for abugida writing systems. In some embodiments, the method may comprise obtaining a base character by performing Optical Character Recognition (OCR) on written user-input on the MS. A conjunct character may also be obtained by applying one or more functional or diacritical operators to the base character. The conjunct character may then be displayed.

Electronic apparatus and method

According to one embodiment, an electronic apparatus includes a hardware processor. The hardware processor sets a first attribute of strokes to be made on a screen, wherein the first attribute determines a degree of change in thicknesses or colors of the strokes according to a change of writing pressure of the strokes; receives a first stroke made on the screen; display the first stroke in accordance with the first attribute on the screen; determines a handwriting candidate conforming the first stroke, wherein the handwriting candidate includes a second attribute different from the first attribute; changes a form of the handwriting candidate in accordance with a difference between the first attribute and the second attribute; and displays the handwriting candidate according to the first attribute on the screen.

DISPLAY APPARATUS, DISPLAY METHOD, AND NON-TRANSITORY RECORDING MEDIUM

A display apparatus includes circuitry to receive a handwriting input within a frame of a line displayed on a display. The handwriting input is corresponding to a part of a character string including one or more characters. The circuitry obtains, based on the handwriting input, a character size. The circuitry expands the frame in a direction of the handwriting input, based on the character size and space currently being left between the handwriting input and a side of the frame in the direction of the handwriting input to receive another handwriting input. 1. A display apparatus , comprising:circuitry configured to:receive a handwriting input within a frame of line displayed on a display, the handwriting input being corresponding to a part of a character string including one or more characters;obtain, based on the handwriting input, a character size; andexpand the frame in a direction of the handwriting input, based on the character size and space currently being left between the handwriting input and a side of the frame in the direction of the handwriting input to receive another handwriting input.2. The display apparatus of claim 1 , whereinthe circuitry obtains, based on stroke data, a maximum width and a maximum height among from one or more strokes included in the handwriting input as the character size, the stroke data representing each of the one or more strokes included in the handwriting input.3. The display apparatus of claim 1 , whereinthe circuitryperforms character recognition on the handwriting input, andobtains a maximum width and a maximum height of a character included in the handwriting input as the character size.4. The display apparatus of claim 1 , whereinthe circuitry obtains the character size in response to detecting that contact corresponding to the handwriting input on the display ends.5. The display apparatus of claim 1 , wherein claim 1 ,in case that space left within the frame in the direction of the handwriting input is less than the ...

METHOD AND ELECTRONIC DEVICE FOR PREDICTING PLURALITY OF MULTI-MODAL DRAWINGS

Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category. 1. A method for predicting multi-modal drawing by an electronic device , wherein the method comprises:receiving, by the electronic device, at least one of a text input and strokes of a drawing on a screen of the electronic device;determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing;classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature;performing, by the electronic device, concatenation of the features associated with the text input and the features associated with the strokes of the drawing based on the classification;classifying, by the electronic device, the strokes of the drawing based on the concatenation into at least one category using a deep neural network (DNN) model; andpredicting, by the electronic device, a plurality of primary drawings corresponding to the at least one category.2. The method as claimed in ...

Stroke attribute matrices

Methods, systems, and computer program products are provided for stroke attribute matrices. User input strokes may be converted into attributes encoded in one or more stroke attribute matrices (SAMs), such as bitmaps, for image or other multidimensional analysis. One or more convolutional neural networks (CNNs) may recognize letters, symbols, shapes and gestures in SAMs. A selector may select output classifications from among multiple CNNs. A sequence analyzer may select a sequence of selected CNN outputs. Stroke information may comprise, for example, velocity (e.g. direction and speed), tilt, pressure, line width, pen up/down events, hover height, etc. Stroke information may be stored, for example, in bitmap color channels (e.g. to facilitate human review). For example, an x, y velocity vector and x, y tilt may be encoded, respectively, as RGBA components of pixel data. Stroke crossings may be encoded, for example, by combining attribute values at pixels where strokes intersect.

System and method for digital ink interactivity

A system, method and computer program product for use in providing interactive ink from handwriting input to a computing device are provided. The computing device is connected to an input device in the form of an input surface. A user is able to provide input by applying pressure to or gesturing above the input surface using either his or her finger or an instrument such as a stylus or pen. The present system and method monitors the input strokes. The computing device further has a processor and an ink management system for recognizing the handwriting input under control of the processor. The ink management system is configured to cause display of, on a display interface of a computing device, first digital ink in accordance with first handwriting input, allocate references to ink elements of the first digital ink, map the references to corresponding recognized elements of the first handwriting input, and determine and store, in the memory of a computing device, ink objects including the references and mapped recognized elements.

Image processing system with layout analysis and method of operation thereof

An image processing system and method of operation includes: a source image; a binary mask image generated from the source image; a connected components module for detecting character targets; a text unit module, coupled to the connected components module, for forming connected neighbors by grouping the character targets having bounding boxes with a horizontal overlap greater than a horizontal overlap threshold, and for forming a text unit by grouping the character targets having a character vertical overlap greater than a character vertical overlap threshold, each of the character targets having a character feature within a feature threshold; a identify baseline module, coupled to the text unit module, for calculating a text unit baseline angle for rotating the text unit to the horizontal; and an optical character recognition module, coupled to the text unit module, for detecting an output text of the text unit for display on a device.

Information processing device, information processing method, and program

Provided is an information processing device including an operation information acquisition unit configured to acquire operation information that is information regarding operation input by a user, and a display control unit configured to cause at least a candidate of a letter corresponding to a stroke operation, which is an operation determined based on the operation information and indicates a predetermined direction, to be displayed on a screen according to the stroke operation.

Method and apparatus for recognising music symbols

Disclosed are music symbol recognition apparatuses and methods that recognise music symbols from handwritten music notations. Various implementations may process handwritten music notations by segmenting the handwritten music notations into a plurality of elementary ink segments and then grouping the segments into graphical objects based on spatial relationships between the segments. One or more candidate music symbols may be determined for each graphical object, along with a symbol cost for each symbol, which represents a likelihood that the graphical object belongs to a predetermined class of symbols. The music symbol candidates may be parsed to form graphs based on grammar rules, and the graph most likely to represent the handwritten music notations may be selected for display or other use. The selection may be based on the symbol costs associated with each candidate and on spatial costs associated with the grammar rules that are applied to the candidates.

Information processing apparatus, non-transitory readable medium, and handwriting input method

An apparatus includes an obtaining unit that obtains time-series coordinate data on pointing input; a calculating unit that calculates a distance value from a coordinate position of any one of top, bottom, left, and right ends of an input handwriting to any point of handwriting portions, based on the obtained coordinate data; a display processing unit that performs a displaying process on the input handwriting based on a change in the distance value; and an erasing unit that calculates a stroke distance value between a coordinate position of a stroke of the input handwriting that is input on a time-series basis and a coordinate position of any one of the ends of the input handwriting, and when the stroke distance value is equal to or more than a predetermined value, erases a display of a handwriting that is input before the stroke of the input handwriting on a time-series basis.

Inferring stroke information from an image

A method for character recognition. The method includes: obtaining a plurality of character segments extracted from an image; determining a first character bounding box having a first set of the plurality of character segments and a second character bounding box having a second set of the plurality of character segments; determining a plurality of directions for the first set and a plurality of timing properties for the first set, where the plurality of timing properties includes an ordering for first set and a drawing duration for the first set; and executing character recognition for the first character bounding box by sending the first set, the plurality of directions for the first set, and the plurality of timing properties for the first set to an intelligent character recognition (ICR) engine.

Predicting a target logogram

For predicting a target logogram, code generates a logogram prediction from a contiguous written input. In addition, the code removes a connective stroke between two connective points in the contiguous written input. The code generates a sub-logogram prediction for a sub-logogram formed by removing the connective stroke. In addition the code predicts a target logogram for the contiguous written input based on both the logogram prediction and the sub-logogram prediction.

Text input method and device based on gesture recognition, and storage medium

A text input method based on gesture recognition, comprising: collecting image information containing a target object; determining the target object according to the image information, and acquiring a writing surface and a movement trace of the target object; extracting the movement trace of the target object in the writing surface as a writing trace and outputting same; and performing character recognition according to the writing trace, and outputting a character recognition result.

Electronic device, method and computer readable medium

According to one embodiment, an electronic device determines, in response to completion of input of Mth stroke, first input candidates of stroke groups by using the 1st to Mth strokes; executes process for displaying at least one of the first input candidates; determine, in response to completion of input of Nth (N>M) stroke, second input candidates by using the 1st to Nth strokes; and executes, process for displaying at least one of the second input candidates on the screen to eliminate overlap with the at least one of the first input candidates displayed on the screen.

Managing real-time handwriting recognition

Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

Text image processing using stroke-aware max-min pooling for ocr system employing artificial neural network

In an optical character recognition (OCR) method for digitizing printed text images using a long-short term memory (LSTM) network, text images are pre-processed using a stroke-aware max-min pooling method before being fed into the network, for both network training and OCR prediction. During training, an average stroke thickness is computed from the training dataset. Stroke-aware max-min pooling is applied to each text line image, where minimum pooling is applied if the stroke thickness of the line is greater than the average stroke thickness, while max pooling is applied if the stroke thickness is less than or equal to the average stroke thickness. The pooled images are used for network training. During prediction, stroke-aware max-min pooling is applied to each input text line image, and the pooled image is fed to the trained LSTM network to perform character recognition.

Processing video including a physical writing surface

A method of processing of a sequence of video frames from a camera capturing a writing surface for subsequent transmission to at least one of a remote videoconferencing client and a remote videoconferencing server. The method comprises receiving the sequence of video frames from the camera; and selecting an image area of interest in the video frames, comprising selecting one of a sub-area of the video frames and an entire area of the video frames. The method also comprises, for each current video frame of the sequence of video frames, generating a pen stroke mask by applying adaptive thresholding to the image area of interest. The method also comprises generating an output video frame using the pen stroke mask. Corresponding systems and computer readable media are disclosed.

Systems and Methods for Displaying Free-Form Drawing on a Contact-Sensitive Display

Systems and methods are provided for displaying free-form drawing on a contact-sensitive display. A new contact on the display is detected by a computer. A determination is made by the computer as to whether a width of the new contact is less than a maximum width. When the width of the new contact is less than the maximum width, the width of the new contact is compared to a width of other current contacts by the computer. When the width of the new contact is less than widths of all other current contacts, the new contact is tracked by the computer using a first data structure. A release of the new contact from the display is detected by the computer. Data associated with the new contact is transferred from the first data structure to the second data structure by the computer when the new contact is detected as being released.

Ink file searching method, apparatus, and program

An ink file output method is provided, which includes: generating M (M is an integer of 1 or more) pieces of stroke data SD on the basis of event data generated as M input devices move, respectively; generating N (N is an integer of 1 or more and M or less) kinds of logical names LN (metadata) identifying the M number of input devices; generating a metadata block associating the M pieces of stroke data SD with the N kinds of logical names LN; and writing the M pieces of stroke data SD and the metadata block to an ink file.

Method and system for generating handwritten text with different degrees of maturity of the writer

The invention relates to a method and system for generating handwritten text with different degrees of maturity of the writer without needing to have the original text of the writer, thereby allowing the generation of text online (synthesizing temporal movement) and offline (generating the image of the handwriting), the simulation of real development in terms of the number of strokes and the velocity profile of the writer according to his or her progress, and the generation of handwriting of writers with possible neurological and motor disorders.

Process of handwriting recognition and related apparatus

Process, and related apparatus, that exploits psycho-physiological aspects involved in generation and perception of handwriting for directly inferring from the trace on the paper (or any other means on which the author writes by hand) the interpretation of writing, i.e. the sequence of characters that the trace is intended to represent.

Interchangeable Device Components

Implementations described herein provide a component system that reconfigures interchangeable computing device components based on a current state of the computing device. The current state of the computing device is determined based on a hardware configuration of the device, a shell configuration describing software and firmware of the device, and/or context information describing a relationship between the device and its surrounding environment. Based on the current state of the computing device, an output is determined that specifies interchangeable components are to be activated and deactivated. The output is useable to reconfigure individual computing device functionalities, control a manner in which applications execute on the computing device, and adapt the computing device to its current state.

Devices, Methods, and Graphical User Interfaces for Messaging

An electronic device displays a messaging user interface of a messaging application, including a conversation transcript of a messaging session between a user of the electronic device and at least one other user, and an application affordance. While displaying the messaging user interface, the device detects an input that activates the application affordance. In response to detecting the input that activates the application affordance, the device concurrently displays a launch icon for an application store and a plurality of launch icons for interactive applications. The device detects an input that activates the launch icon for the application store; in response to detecting the input that activates the launch icon for the application store: the device ceases to display the messaging user interface, and displays an application store user interface, including display of at least one interactive application available for download to the electronic device. While displaying the application store user interface, the device detects an input that corresponds to a request to download a first interactive application that is not stored in the memory of the electronic device; and, in response to detecting the input that corresponds to the request to download the first interactive application: the device downloads the first interactive application to the memory; replaces display of the application store user interface with display of the messaging user interface; and adds a launch icon that corresponds to the first interactive application to the display of the plurality of launch icons for interactive applications.

Interchangeable device components

Implementations described herein provide a component system that reconfigures interchangeable computing device components based on a current state of the computing device. The current state of the computing device is determined based on a hardware configuration of the device, a shell configuration describing software and firmware of the device, and/or context information describing a relationship between the device and its surrounding environment. Based on the current state of the computing device, an output is determined that specifies interchangeable components are to be activated and deactivated. The output is useable to reconfigure individual computing device functionalities, control a manner in which applications execute on the computing device, and adapt the computing device to its current state.

Playback of handwritten message

A system for processing a handwritten message received by a messaging app can modify playback over time of the handwritten message based on a set of rules to determine how to modify the playback. In one embodiment, graphics data (e.g. vector graphics data) that represents the handwritten message is processed using the rules to determine how to modify the playback such that the resulting playback includes at least one modification over a portion of time of the playback.

Handwritten signature authentication system and method based on time-division segment block

The present disclosure relates to a handwritten signature authentication system and method and, more particularly, to a time-division handwritten signature authentication system and method, in which handwritten signature authentication is performed by handwritten signature characteristics information based on segment blocks including segments divided by a predetermined time slice.

Method and system for replaying a voice message and displaying a signed digital photograph contemporaneously

Systems and methods for generating authentic digital memorabilia are described. A signor may be provided a digital photograph. The signor's signature, written message, or voice message may be received. Biometric authentication or verification may be performed on the signor's handwriting or voice sample through comparison with stored samples. If the verification signifies a high likelihood signor's handwriting or voice sample is authentic, creation of digital memorabilia is performed by embedding signor's signature or written message in a digital photograph and linking the signor's voice message with the photograph. The digital memorabilia is accompanied by a certificate of authenticity and distributed to a customer or displayed on a website.

Multi-stroke smart ink gesture language

This document describes techniques for, and systems that enable, a multi-stroke smart ink gesture language. The described techniques enable a digital ink user interface that allows a display, that is capable of receiving a digital ink stroke from a passive stylus or an active pen, to receive the digital ink stroke as either a content input or an action input. The digital ink stroke may be determined to be an action input based on proximity to, intersection with, or chronological immediacy to a prior-received digital ink stroke. When multiple digital ink strokes are determined to represent a multi-stroke gesture associated with an action input, the action input is provided to the application, which can then perform the action associated with the action input. The multi-stroke gesture allows users to input both content and actions using the passive stylus or active pen and natural digital inking strokes.

Handwriting detector, extractor, and language classifier

Disclosed are methods for handwriting recognition. In some aspects, an image representing a page of a sample document is analyzed to identify a region having indications of handwriting. The region is analyzed to determine frequencies of a plurality of geometric features within the region. The frequencies may be compared to profiles or histograms of known language types, to determine if there are similarities between the frequencies in the sample document relative to those of the known language types. In some aspects, machine learning may be used to characterize the document as a particular language type based on the frequencies of the geometric features.

INK DATA MODIFICATION METHOD, INFORMATION PROCESSING DEVICE, AND PROGRAM THEREOF

An ink data modification or correction method, and an information processing device and a program for implementing the method are provided, which allow automatic correction of ink data including a spelling error in a handwritten character string. An ink data modification method according to the present disclosure includes determining a modification method of ink data by detecting a spelling error included in a handwritten character string represented by the ink data, and modifying the ink data by manipulating the ink data on the basis of the determined modification method. For example, the determined modification method may be to add a missing character, or to delete a superfluous character, or to correct a typo by replacing an erroneous character with a correct character. 1. An ink data modification method configured for a handwritten character string , the method comprising:a determination step of determining a modification method of ink data by detecting a spelling error included in a handwritten character string represented by the ink data; anda modification step of modifying the ink data by manipulating the ink data on a basis of the modification method.2. The ink data modification method configured for a handwritten character string according to claim 1 , wherein claim 1 , in the determination step claim 1 , text data indicating the handwritten character string is acquired by executing a character recognition process claim 1 , and a spelling error included in the handwritten character string is detected by detecting a spelling error included in the text data.3. The ink data modification method configured for a handwritten character string according to claim 1 , wherein claim 1 , in the determination step claim 1 , the handwritten character string is normalized by executing a character recognition process and is compared with a pre-registered handwritten character string claim 1 , so that a spelling error included in the handwritten character string is detected ...

Graphic input system

System for Wearable General-Purpose 3-Dimensional Input

1. 청구범위에 기재된 발명이 속한 기술분야 1. TECHNICAL FIELD OF THE INVENTION 본 발명은 착용형 범용 3차원 입력 시스템에 관한 것임. The present invention relates to a wearable general purpose three-dimensional input system. 2. 발명이 해결하려고 하는 기술적 과제 2. The technical problem to be solved by the invention 본 발명은, 하나의 착용형 장치로써 리모콘, 마우스 및 펜 등의 입력 기능을 모두 수행할 수 있는 착용형 범용 3차원 입력 시스템을 제공하고자 함. The present invention is to provide a wearable universal three-dimensional input system that can perform all the input functions such as a remote control, a mouse and a pen as one wearable device. 3. 발명의 해결방법의 요지 3. Summary of Solution to Invention 본 발명은, 착용형 범용 3차원 입력 시스템으로서, 사용자의 신체에 착용 가능한 구조이고 사용자의 움직임 정보를 전송하기 위한 착용형 입력 수단; 및 상기 착용형 입력 수단으로부터 전송받은 움직임 정보를 해석하고 사용자에게 피드백하기 위한 호스트 수단을 포함함. The present invention provides a wearable universal three-dimensional input system, comprising: wearable input means configured to be worn on a user's body and to transmit movement information of a user; And host means for interpreting the motion information received from the wearable input means and feeding back to the user. 4. 발명의 중요한 용도 4. Important uses of the invention 본 발명은 범용 입력 시스템 등에 이용됨. The present invention is used for general purpose input system. 착용형(Wearable), 입력 장치(input device), 가속도 센서(accelerometer), 마우스(mouse), 스타일러스(stylus), 리모콘(remote controller) Wearable, input device, accelerometer, mouse, stylus, remote controller

在移动终端操作表单的方法及装置

本发明涉及移动终端领域，公开了一种在移动终端操作表单的方法及装置。无需滚动到底部寻找操作按钮，也不需要对悬浮的操作按钮进行指向明确的操作，可在屏幕任一位置通过手势完成特定操作；且通过手势来操作表单就不需要单独的操作按钮，可将大小有限的屏幕全部用于展示表单内容。预设有手势，手势比对规则和表单操作的对应关系，该方法包括以下步骤：检测屏幕上输入的手势，获取输入手势的轨迹；将获取的输入手势的轨迹与对应关系中的手势按照手势比对规则进行匹配；如果匹配成功，则触发相应的表单操作。

Character recognition program, character recognition method, and character recognition device

Input processing program, input processing device, input processing method, character determine that program, character determining device and character determine method

使计算机执行以下处理：接受显示了字符的显示画面上的手写输入，若检测到在与显示于上述显示画面的特定的字符的显示位置对应的位置进行了上述手写输入，则执行将上述特定的字符变更为针对上述手写输入识别出的字符的处理。

Handwriting recognition method and device

편의를 위해 사용자가 연속적으로 입력하는 문자열을 인식하기 위한 수기 인식 방법 및 수기 인식 장치가 제공된다. 본 방법은 입력된 문자열에서의 상이한 획 조합의 공백 기하학적 구조 특징 및 단일 문자 인식 정확도 특징을 포함하는 입력된 문자열의 다양한 특징을 산출하는 단계, 계수가 샘플 훈련을 통한 파라미터 추정 방식에 의해 추정되는 확률 모델을 이용하여 상이한 분할 패턴의 각각의 획 조합의 분할 신뢰도를 산출하는 단계, 획 조합의 단일 문자 인식을 수행할 때 다중 탬플릿 매칭 방식을 이용하여 상이한 필기 패턴의 문자를 인식하는 단계, 최적 분할 경로를 조사하는 단계 및 인식 결과를 최적화하기 위한 후처리를 수행하는 단계를 포함한다. 본 방법 및 장치는 간단한 구조, 낮은 하드웨어 요구사항, 신속한 인식속도 및 높은 인식 정확도의 장점을 가지며 내장형 시스템으로 구현될 수 있다.

Information processing method and device

本发明公开了一种信息处理方法，应用于电子设备，所述方法包括：显示第一界面，所述第一界面用于接收用户的输入，并实时显示所述输入的轨迹；获取第一输入，并显示所述第一输入的轨迹；解析第一输入的属性信息；基于所述属性信息确定所述第一输入所属的操作类型；根据所述操作类型对所述第一输入进行识别。本发明还同时公开了一种信息处理装置。采用本发明技术方案，能更好地识别用户的当前操作是手写笔画操作还是其他操作，提高识别的准确率，提升用户的使用体验。

Text appraisal procedure, character learning method, device, equipment and storage medium

本申请提供了一种文字评估方法、文字学习方法、装置、设备及存储介质，方法包括：获取模板文字笔画层面的特征；获取与模板文字对应的待评估文字各个笔画的轨迹点数据，并根据轨迹点数据确定待评估文字笔画层面的特征；根据待评估文字和模板文字笔画层面的特征，对待评估文字和所述模板文字进行笔画匹配，获得笔画匹配结果；根据笔画匹配结果，确定待评估文字的笔画中正确的笔画和/或错误的笔画。本申请提供的文字评估方法适合用户对于文字的学习，用户体验较好。

Sky-writing breaks a system and method

本发明涉及一种空中书写断笔系统和方法，所述系统包括：图像采集模块，用于采集包含有目标物的图像信息；目标获取模块，用于根据所述图像信息确定目标物，并获取所述目标物的书写面和移动轨迹；轨迹提取模块，用于提取所述目标物在所述书写面内的移动轨迹作为书写轨迹进行输出；字符识别模块，用于根据所述书写轨迹进行字符识别，并输出字符识别结果。本发明可以提高识别准确度。

Character / graphic input editing device

Handwritten input display device and method

Apparatus and method for processing data in terminal having touch screen

본 발명은 터치 스크린을 구비한 단말기에서 데이터를 처리하는 방법 및 그를 수행하는 장치에 관한 것으로, 한 화면에 표시된 적어도 하나의 데이터를 저장할 수 있는 데이터 저장 모드 시, 상기 표시된 데이터별로 특징점 정보를 추출하기 위한 특징점 추출 방법을 선택할 수 있는 특징점 추출 방법 선택창을 표시하는 과정과, 상기 특징점 추출 방법 선택창을 통해 선택되는 상기 특징점 추출 방법을 이용하여 상기 데이터별로 특징점 정보를 추출하는 과정과, 적어도 하나의 상기 데이터별로 추출된 상기 특징점 정보를 그룹 특징점 정보로 저장하는 과정을 포함한다. 이러한 과정을 통해 한 화면에 입력된 다수 개의 데이터에 대한 정보를 각각 저장할 수 있으므로, 저장된 데이터가 다시 표시되는 경우에 사용자가 원하는 각각의 데이터를 편집할 수 있다. The present invention relates to a method of processing data in a terminal equipped with a touch screen and an apparatus for performing the same in a terminal having a touch screen. In the data storage mode in which at least one data displayed on one screen can be stored, The method comprising the steps of: displaying a feature point extraction method selection window for selecting a feature point extraction method for extracting feature point information for each data item using the feature point extraction method selected through the feature point extraction method selection window; And storing the minutia information extracted for each data as group minutia information. In this way, information on a plurality of pieces of data input on one screen can be stored, respectively, so that when the stored data is displayed again, each piece of data desired by the user can be edited. 터치 스크린, 단말기, 데이터, 특징점 Touch screen, terminal, data, minutiae

Method and system for ink data generation, ink data rendering, ink data manipulation and ink data communication

提供了用于生成、呈现、操纵(例如，切片)并传递形成墨水数据的笔画对象的方法和系统。一种生成笔画对象以形成墨水数据的方法通常包括两个步骤。首先，顺序地接收指示下笔事件、笔移动事件和抬笔事件的笔事件数据以生成共同地形成笔画对象的点对象。所述点对象用作用于根据定义曲线插值算法来对曲线段进行插值的控制点。其次，定义要在所述笔画对象被呈现时显示的所述笔画对象内的范围的两个参数作为所述笔画对象的属性被生成。当呈现所生成的笔画对象时，与整体上显示所述笔画对象不同，系统将所述笔画对象的显示限于由所述两个参数所指示的范围。

System and method and product for recognizing multiple object inputs

컴퓨팅 디바이스로의 다수의 객체들의 입력의 인식을 위한 방법들, 시스템들, 및 컴퓨터 프로그램 제품들이 제공되고, 컴퓨팅 디바이스는 프로세서 및 프로세서의 제어 하에서 입력을 인식하기 위한 적어도 하나의 애플리케이션을 갖는다. 애플리케이션은, 입력의 복수의 엘리먼트들의 적어도 하나의 기하학적 피처를 결정하고, 결정된 적어도 하나의 기하학적 피처를 적어도 하나의 사전결정된 기하학적 임계와 비교하여 포지티브 또는 네거티브 결과를 결정하도록 구성된다. 비교가 네거티브 결과를 산출하면, 애플리케이션은 엘리먼트들을 입력의 인식에서 하나의 객체에 속하는 것으로서 간주한다. 비교가 포지티브 결과를 산출하면, 애플리케이션은 엘리먼트들을 입력의 인식에서 다수의 객체들에 속하는 것으로서 간주한다. Methods, systems, and computer program products are provided for recognition of input of multiple objects to a computing device, wherein the computing device has a processor and at least one application for recognizing input under control of the processor. The application is configured to determine at least one geometrical feature of the plurality of elements of the input, and compare the determined at least one geometrical feature to at least one predetermined geometrical threshold to determine a positive or negative result. If the comparison yields a negative result, the application considers the elements as belonging to an object in recognition of the input. If the comparison yields a positive result, the application considers the elements as belonging to multiple objects in recognition of the input.

Interaction method, electronic equipment and computer storage medium

一种交互方法、电子设备及计算机存储介质；所述交互方法包括：获取用户输入的轨迹点集合，轨迹点集合至少包括一个轨迹点；根据轨迹点集合确定候选对象，候选对象包括：第一候选对象和第二候选对象；显示用于表示第一候选对象的第一选择图标和用于表示第二候选对象的第二选择图标；响应于用户的对第一选择图标的选择操作，显示第一候选对象或者执行第一候选对象所对应的操作，响应于用户的对第二选择图标的选择操作，显示第二候选对象或者执行第二候选对象所对应的操作。

Средство прогнозирования вводимого рукописного фрагмента

РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 2017 108 531 A (51) МПК G06F 3/041 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ЗАЯВКА НА ИЗОБРЕТЕНИЕ (21)(22) Заявка: 2017108531, 24.09.2015 (71) Заявитель(и): МАЙКРОСОФТ ТЕКНОЛОДЖИ ЛАЙСЕНСИНГ, ЭлЭлСи (US) Приоритет(ы): (30) Конвенционный приоритет: 29.09.2014 US 62/057,025; 16.09.2015 US 14/856,167 26 R U (43) Дата публикации заявки: 17.09.2018 Бюл. № (72) Автор(ы): ТУ Сяо (US), СЮН Фэй (US), ЛИНЬ Цзяньфэн (US), ПООН Патрик Дзее-Ан (US) (85) Дата начала рассмотрения заявки PCT на национальной фазе: 15.03.2017 US 2015/051828 (24.09.2015) (87) Публикация заявки PCT: R U Адрес для переписки: 129090, Москва, ул. Б.Спасская, 25, строение 3, ООО "Юридическая фирма Городисский и Партнеры" (54) СРЕДСТВО ПРОГНОЗИРОВАНИЯ ВВОДИМОГО РУКОПИСНОГО ФРАГМЕНТА (57) Формула изобретения 1. Устройство отображения с сенсорным экраном, содержащее: процессор, сенсорный экран, компьютерное запоминающее устройство, содержащее машиноисполняемые команды, которыми при их исполнении процессором выполняется способ визуализации предиктивного вводимого рукописного фрагмента на сенсорном экране, содержащий: прием множества точек контакта на пути, совершаемом объектом по поверхности сенсорного экрана; вычисление активной аппроксимации методом Безье третьего порядка, используя это множество точек контакта в качестве ввода, при этом активная аппроксимация методом Безье третьего порядка имеет начальную точку контакта и оконечную точку контакта; определение периода запаздывания вводимого рукописного фрагмента для сенсорного экрана; определение предиктивного расстояния, которое объект должен пройти в течение периода запаздывания вводимого рукописного фрагмента; вычисление новой аппроксимации методом Безье третьего порядка, которая протягивается на предиктивное расстояние от оконечной точки контакта; и Стр.: 1 A 2 0 1 7 1 0 8 5 3 1 A WO 2016/053727 (07.04.2016) 2 0 1 7 1 0 8 5 3 1 (86) Заявка PCT: A 2 0 1 7 1 0 8 5 3 1 A R U 2 0 1 7 1 0 8 5 3 ...

Time division segment block-based manual signature authentication system and method thereof

본 발명은 수기서명 인증 시스템 및 방법에 관한 것으로, 더욱 상세하게는 수기서명 시 일정 시간 단위로 구분되는 세그먼트(Segment)를 포함하는 시간분할 세그먼트 블록에 기반한 수기서명 특성 정보에 의해 수기서명 인증을 수행하는 시간분할 수기서명 인증 시스템 및 그 방법에 관한 것이다.

Character generation method, device, equipment and medium

本申请公开了文字生成方法、装置、设备及介质。该方法包括：确定生僻字的多个组成部件；从预设手写体部件中，获取分别与多个组成部件一一对应的多个手写体部件，其中，预设手写体部件是从手写体常用字中提取得到的；按照生僻字的文字结构，对多个手写体部件进行组合，组合得到生僻字对应的手写体生僻字。根据本申请实施例能够提高手写体生僻字的生成效率。

Stroke-based data entry device, system, and method

A data entry system comprising of: an input surface, a limited number of input elements of any shape and positions at the input surface, and a processing device (for detecting a continuous sweeps of an input object over the input surface, for tracking a sequence of the input elements interacted with the input object during such sweeps, and for generating a function associated with the sequence after the sweep is completed). A system characterized in that the processing device is adapted for time independent and reliable detecting a sequence of input elements, even if an input object could interact with several input elements simultaneously. A system also characterized in that the sweeps may represent strokes of handwritten symbols. The invention can be utilized in new designs of compact data input systems for electronic devices.

Stroke-based data entry device,system,and method

A data entry system comprising of: an input surface, a limited number of input elements of an shape and positions at the input surface, and a processing device (for detecting a continuous sweeps of an input object over the input surface, for tracking a sequence of the input elements interacted with the input object during such sweeps, and for generating a function associated with the sequence after the sweep is completed). A system characterised in that the processing device is adapted for time independent and reliable detecting a sequence of input elements, even if an input object could interact with several input elements simultaneously. A system also characterized in that the sweeps may represent strokes of handwritten symbols. The invention can be utilized in new design of compact data input systems for electronic devices.

Stroke-based data entry device, system, and method

Stroke-based data entry device, system, and method

A data entry system comprising of: an input surface, a limited number of input elements of any shape and positions at the input surface, and a processing device (for detecting a continuous sweeps of an input object over the input surface, for tracking a sequence of the input elements interacted with the input object during such sweeps, and for generating a function associated with the sequence after the sweep is completed). A system characterized in that the processing device is adapted for time independent and reliable detecting a sequence of input elements, even if an input object could interact with several input elements simultaneously. A system also characterized in that the sweeps may represent strokes of handwritten symbols. The invention can be utilized in new designs of compact data input systems for electronic devices.

RECOGNITION GRAPH

1. Способ определения, по меньшей мере, одного варианта распознавания рукописного образа, содержащего одну или более кривых, представляющих множество символов, причем упомянутый способ содержит этапы, на которых ! выбирают возможные точки сегментации в рукописном образе для использования при сегментации рукописного образа и распознавании этих сегментов рукописного образа как символов, ! сравнивают сегменты рукописного образа с эталонами, представляющими символ или часть символа, при этом сегмент рукописного образа соответствует последовательности возможных точек сегментации от первой точки сегментации до второй точки сегментации, причем упомянутое сравнение возвращает варианты сегментов для эталонов, формирующих возможные результаты распознавания сегментов рукописного образа, при этом каждый вариант сегмента ассоциирован с показателем согласованности между эталоном и сегментом рукописного образа, ! формируют представление последовательностей вариантов сегментов, причем упомянутое представление содержит блоки данных, соответствующие точкам сегментации в рукописном образе, при этом блок данных содержит ссылки на блоки данных, соответствующие последующим точкам сегментации, а ссылка содержит информацию вариантов сегментов и ассоциированных показателей для сегмента рукописного образа между точками сегментации, ! сравнивают представление последовательностей вариантов сегментов со словарем, при этом словарь представляется как последовательности символов, причем символ в последовательности хранит ссылки на допустимые следующие символы, ! находят последовательности вариантов сегментов, ко� РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) 2007 135 945 (13) A (51) МПК G06K 9/22 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ, ПАТЕНТАМ И ТОВАРНЫМ ЗНАКАМ (12) ЗАЯВКА НА ИЗОБРЕТЕНИЕ (21), (22) Заявка: 2007135945/09, 24.02.2006 (71) Заявитель(и): ЗИ ДЕКУМА АБ (SE) (30) Конвенционный приоритет: 28.02.2005 SE 0500465-0 (43) Дата публикации заявки: 10.04.2009 Бюл. № 10 (72) Автор(ы): ...

SEGMENTATION RECOGNITION

1. Способ распознавания рукописного образа, содержащего одну или более кривых, представляющих множество символов, причем упомянутый способ содержит этапы, на которых ! обнаруживают рукописный образ как последовательность точек вдоль упомянутых одной или более кривых рукописного образа, ! идентифицируют потенциальные диакритические знаки в упомянутой последовательности точек рукописного образа, ! выбирают характеристические точки из упомянутой последовательности точек, при этом упомянутые характеристические точки выбираются для использования при сегментации рукописного образа и распознавании этих сегментов рукописного образа как символов, ! определяют признаки упомянутых одной или более кривых непосредственно в каждой или рядом с каждой характеристической точкой, ! назначают, по меньшей мере, один признак, ассоциированный с идентифицированными потенциальными диакритическими знаками, каждой характеристической точке из поднабора характеристических точек, и ! сравнивают рукописный образ с эталонами, причем каждый эталон представляет, по меньшей мере, один символ или часть символа, при этом упомянутое сравнение содержит этап, на котором ! пошагово анализируют характеристические точки одну за другой, причем характеристические точки представляют возможные точки сегментации, а последовательности характеристических точек от первой возможной точки сегментации до второй возможной точки сегментации представляют возможные символы, при этом упомянутый анализ выполняется посредством этапов, на которых ! сопоставляют признаки последовательностей характеристических точек, которые начинаются либо с пер� РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) 2007 135 946 (13) A (51) МПК G06K 9/22 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ, ПАТЕНТАМ И ТОВАРНЫМ ЗНАКАМ (12) ЗАЯВКА НА ИЗОБРЕТЕНИЕ (21), (22) Заявка: 2007135946/09, 24.02.2006 (71) Заявитель(и): ЗИ ДЕКУМА АБ (SE) (30) Конвенционный приоритет: 28.02.2005 SE 0500466-8 (43) Дата публикации заявки: 10.04.2009 Бюл. № 10 (72) Автор ...

Method and system for testing and detecting picture clock based on digital pen

本发明提供一种基于数位笔的画钟测试检测方法，步骤包括：1)采集用户画钟测试的笔迹数据；2)识别笔迹数据的轮廓笔画、指针笔画及数字笔画，提取笔画特征；3)根据笔画特征，对轮廓笔画、指针笔画及数字笔画进行检测，实现画钟测试。本发明还提供一种基于数位笔的画钟测试检测系统，包括：一数位笔，用以绘制图形；一信息采集设备，连接上述数位笔，包括一液晶数位屏、一数据采集应用和一数据分析应用，通过液晶显示屏输入并记录数位笔的笔迹数据，通过数据采集应用采集笔迹数据，并通过数据分析应用识别笔迹数据的笔画特征并进行打分。

Method of connecting shapes on a display of a computer system

An apparatus for recognizing shapes characterized by a stroke grouper receptive to a plurality of strokes formed on a screen of a pen-based computer system; a shape recognition engine receptive to a stroke group produced by the stroke grouper; and a knowledge base coupled to the shape recognition engine, where the knowledge base includes, at a minimum, knowledge concerning closed polygons and closed curves. Preferably, the closed curves of the knowledge base include both circles and ellipses. A method for recognizing digitized shapes in a computer system includes the steps of receiving at least one user-initiated stroke; grouping the user-initiated stroke with related strokes to form a stroke group; and analyzing the stroke group to make a best-guess shape represented by the stroke group. Preferably, the method also looks for other shapes which are related to the best-guess shape and modifying at least one of the location, size, or shape of the best-guess shape to conform with the other shapes. The strokes are typically grouped when they are related in time, or space, or in both time and space. A method for recognizing and forming shapes includes the steps of: creating a live group including at least one live stroke; characterizing shape sides from the live group, where a shape side is either straight or curved; forming a polygon from the shape sides if all the shape sides are straight; forming an ellipse from the shape sides if all the shape sides are curved; and forming a composite curve from the shape sides if the shape sides are a mixture of straight sides and curved sides. The step of characterizing shape sides preferably includes the steps of: finding kinks in the live group; defining shape sides as segments between the kinks; and determining whether the shape sides are straight or curved.

Method for selecting objects on a computer display

A method for selecting objects displayed on a screen of a pen-based computer system characterized by the steps of: (a) determining that a selection gesture has been made on the screen of the pen-based computer by a stylus; (b) detecting a path made by the stylus across at least a portion of an object depicted on the screen; (c) displaying a line image on the screen along the path; (d) determining a selection of at least a portion of the object as indicated by the path; and (e) displaying selection indicia on the screen representing the selection. The step of displaying the selection indicia can occur concurrently with or after the complete path is made by the stylus on the object. Preferably, the line image is removed after the step of displaying the selection indicia.

Methods, computers, and programs executed by computer-executable instructions

Patent JPH0139150B2

Method and system of handwritten-character recognition

문자 인식 방법은 입력 수기(手記) 문자(11)의 각 실제 스트로크(12)의 종점으로부터 그 다음의 실제 스트로크(12)의 시점까지를 가상 스트로크(13)로 연결하여 1개의 선을 형성하고, 이어서 그 1개의 선의 굴곡의 위치 및 그 위치에 있어서의 굴곡 방향 및 굴곡 각도를 특정하기 위한 특징량을 검출하며, 그 검출한 굴곡의 위치에 따라 입력 메시 메모리(IM1∼IM8)에 그 검출한 특징량을 패터닝하고, 그 입력 메시 메모리(IM1∼IM8)를 미리 작성된 사전 메시 메모리와 대조하여 입력 수기 문자의 각 사전 수기 문자에 대한 유사도를 산출하며, 그 산출한 유사도 중 최대의 유사도를 갖는 사전 수기 문자를 입력 수기 문자로 인식한다. 이 방법은 입력 수기 문자에 가상 스트로크를 추가하고 있으므로, 각 스트로크를 연속하여 쓴 문자라도 올바르게 인식할 수 있다. The character recognition method forms one line by connecting the virtual stroke 13 from the end point of each actual stroke 12 of the input handwritten character 11 to the start point of the next actual stroke 12, Subsequently, a feature amount for specifying the position of the bend of the one line, the bending direction and the bending angle at the position is detected, and the detected feature is input to the input mesh memories IM1 to IM8 according to the detected position of the bend. Patterning the amount, and comparing the input mesh memory (IM1 to IM8) with a pre-created dictionary mesh memory to calculate the similarity for each dictionary handwritten character of the input handwritten character, and the dictionary handwriting having the maximum similarity among the calculated similarities. Recognize characters as input handwritten characters. Since this method adds a virtual stroke to the input handwritten character, even characters written in successive strokes can be recognized correctly.

Statistical mixture approach to automatic handwriting recognition

Method and apparatus for automatic recognition of handwritten text based on a suitable representation of handwriting in one or several feature vector spaces(s), Gaussian modeling in each space, and mixture decoding to take into account the contribution of all relevant prototypes in all spaces. The feature vector space(s) is selected to encompass both a local and a global description of each appropriate point on a pen trajectory. Windowing is performed to capture broad trends in the handwriting, after which a linear transformation is applied to suitably eliminate redundancy. The resulting feature vector space(s) is called chirographic space(s). Gaussian modeling is performed to isolate adequate chirographic prototype distributions in each space, and the mixture coefficients weighting these distributions are trained using a maximum likelihood framework. Decoding can be performed simply and effectively by accumulating the contribution of all relevant prototype distributions. Post-processing using a language model may be included.

Character input device

A pen provides coordinate position data to an input device which passes the data to a controller. In the controller an input section reads the data and stores them in a position data buffer. A recognition processing section analyses the data in the buffer and extracts character code with reference to a dictionary data buffer. The resulting code is then stored in an output buffer. The size of the written character is determined by a processing section by analysis of maximum and minimum values of X- and Ycoordinates for each input stroke, and by reference to a character size table.

Digitized handwriting sample ingestion systems and methods

Certain aspects of the present methods and systems may focus on computer implemented methods of obtaining digitized hand-writing data corresponding to a sample of a needed code point of a set of code points. Such methods may include: obtaining a sample of digitized handwritten text, the sample of digitized handwritten text including glyph data corresponding to a first glyph, the first glyph corresponding to the needed code point of the set of code points; associating the first glyph with the needed code point; identifying stroke data in the glyph data, the stroke data corresponding to a stroke component of the first glyph, determining a plurality of dimensional values of the stroke component in the stroke data; and associating the plurality of dimensional values with a new code point sample of the needed code point in a code point set data structure.

Identity or identification verification process using handwritten signatures affixed to a digital sensor

Procédé de vérification d’identité ou d’identification utilisant des signatures manuscrites apposées sur un capteur numérique Procédé d’identification ou de vérification de l’identité d’un utilisateur, utilisant une pluralité de vecteurs de signature de référence précédemment acquis, une signature manuscrite de l’utilisateur et au moins une information manuscrite complémentaire liée à l’utilisateur, préalablement apposées sur un capteur numérique, notamment mobile, procédé dans lequel :a) ladite signature manuscrite de l’utilisateur et ladite au moins une information complémentaire sont fusionnées pour générer au moins un vecteur de signature de test, b) ledit au moins un vecteur de signature de test est comparé à plusieurs desdits vecteurs de signature de référence, et c) sur la base au moins de cette comparaison, un score de vraisemblance est généré afin d’identifier ou de vérifier l’identité de l’utilisateur. Figure pour l’abrégé : Fig. 1 Method for verifying identity or identification using handwritten signatures affixed to a digital sensor Method for identifying or verifying the identity of a user, using a plurality of previously acquired reference signature vectors, a handwritten signature of the user and at least one additional handwritten information linked to the user, previously affixed to a digital sensor, in particular a mobile one, method in which: a) said handwritten signature of the user and said at least one additional piece of information are merged to generating at least one test signature vector, b) said at least one test signature vector is compared to several of said reference signature vectors, and c) based on at least this comparison, a likelihood score is generated in order to identify or verify the identity of the user. Figure for the abstract: Fig. 1

Method and device for operating form on mobile terminal

一种在移动终端操作表单的方法及装置，涉及移动终端领域。无需滚动到底部寻找操作按钮，也不需要对悬浮的操作按钮进行指向明确的操作，可在屏幕任一位置通过手势完成特定操作；且通过手势来操作表单就不需要单独的操作按钮，可将大小有限的屏幕全部用于展示表单内容。预设有手势，手势比对规则和表单操作的对应关系，该方法包括以下步骤：检测屏幕上输入的手势，获取输入手势的轨迹（101）；将获取的输入手势的轨迹与对应关系中的手势按照手势比对规则进行匹配（102）；如果匹配成功，则触发相应的表单操作。

Handheld computer systems and techniques for character and command recognition related to human movements

本发明揭露一种手持计算机系统及用于人类手势识别的方法。数据馆数据库填入有数据与相关联的命令或者对应于各种手势的字符。数据通过于意欲代表特定字符或特定命令的轨道中移动手持装置所得到。该手持装置包含一个或多个以MEMS为基础的惯性传感器以及微型化罗盘，该惯性传感器包含陀螺仪与加速度计。当使用者握持该手持装置的同时，使用者做出有目的的手势。该计算机系统比较对应于自该使用者的手势提取的该组离散特征的该组数值与该数据库中所储存的多组数值，并且选定最接近的匹配。与该经选定的一组数值相关联的字符经显示于该手持装置的显示器上，或者与该经选定的一组数值相关联的命令经执行。

How to share digital ink

Distinguishing gestures from handwriting in a pen based computer by stroke analysis

Pre-recognition analysis on stroke characteristics such as the count, size and position of each stroke in real-time as it is drawn improves recognition accuracy. After each stroke, the set of strokes is weighted toward handwriting or gesture. The system uses a gesture threshold size to distinguish between gestures and handwriting. The system also uses the stroke count to distinguish between the two inputs, relying on the knowledge of the allowable number of strokes in a gesture. The count information may also be used in conjunction with the stroke size information to weight the set of strokes between gestures handwriting. Once the stroke size crosses a gesture vs. text size threshold, the result is weighted toward gestures. By examining the `white space` between strokes and the juxtaposition of the strokes, a gesture vs. text determination can be made with high accuracy.

Stroke display method of handwriting input and electronic device

Method and an apparatus for coding/decoding telewriting signals

Abstract of the Disclosure A difference vector indicating movement of a pen between two adjacent sampled points is divided into macro movement and micro movement components. The macro and micro components are coded independently of each other so as to provide effective coding. In the case of coding the difference vector, the magnitude of the difference vector is coded in accordance with the types of zones (zone number k) and relative pel address within the zone. In order to improve the coding efficiency, a zone number difference is used instead of the zone number. Furthermore, the direction of the difference vector is expressed by a quadrant which includes this difference vector. In order to further improve the coding efficiency, a quadrant number difference is used instead of the quadrant number.

Method and apparatus for creating and editing nodelink diagrams in PEN computing systems

A method and process provides structure recognition to a node-link diagram formed by a plurality of digital ink strokes drawn on a canvas of an electronic device by an input device. The method and process include grouping related strokes into multiple hypotheses reflecting structure interpretations of the strokes in a group. Confidence scores are computed for the multiple hypotheses based on local evidence regarding the strokes of the stroke groups and surrounding strokes. Constraints are applied among the hypotheses, and a collectively high scoring assignment of accept/reject values of the hypotheses are determined under the applied constraints. The hypotheses with collectively high scoring assignments are accepted as a representation of the node-link diagram, where structure information is provided to the strokes of the node-link diagram, making the node-link diagram electronically editable.

Devices, methods, and graphical user interfaces for messaging

Electronic devices with improved methods and interfaces for messaging are disclosed, including improved ways to: acknowledge messages; edit previously sent messages; express what a user is trying to communicate; display private messages; synchronize viewing of content between users; incorporate handwritten inputs; quickly locate content in a message transcript; integrate a camera; integrate search and sharing; integrate interactive applications; integrate stickers; make payments; interact with avatars; make suggestions; navigate among interactive applications; manage interactive applications; translate foreign language text; combine messages into a group; and flag messages.

Method and system for distinguishing gestures and handwritten characters on a computer

A kind of fine granularity gesture identification method and system based on CSI

本发明提供一种基于CSI的细粒度手势识别方法，其特征在于，方法包括以下步骤：基于信道状态信息的特征值判断至少一个笔画手势的多个维度的起始点、终结点、速度、方向和/或笔画拐点；采用机器学习方法基于笔画手势的起始点、终结点、速度、方向和/或笔画拐点将笔画分类并形成笔画序列；基于自然语言规律和/或科学语言规律中笔画的出现频率和/或笔画之间的衔接规律构建笔画转移模型；利用笔画转移模型将笔画序列划分并识别为符合自然语言规律和/或科学语言规律的字母序列、偏旁部首序列、数字序列和/或图形序列。本发明通过手势识别文字笔画，再将笔画构建为文字，既丰富了手势识别文字的种类，又提高了手势书写的准确率。

Handwritten keyboardless-entry computer system

A keyboardless-entry computer system includes a transparent input screen (18) that generates positional information when contacted by a stylus (16), and a display screen (20) mounted below the input screen (18) such that a character that is displayed can be seen below the input screen (18). The system includes a computer (14) programmed to compile the positional information into Strokes, to calculate Stroke characteristics, and then compare the Stroke characteristics with those stored in a database in order to recognise the symbol drawn by the stylus (16). The system may be used to edit text or complete standard forms e.g. with medical data. <IMAGE>

Method and apparatus for on-line handwritten input character recognition and recording medium for executing the method

The invention aims at recognition of a handwritten input character on-line with quite high accuracy. The method of on-line handwritten input character recognition of the invention is characterized in that ordinary strokes and transition strokes and/or s-e strokes of a handwritten input character sampled on-line are compared with ordinary strokes and transition strokes and/or s-e strokes of dictionary's characters previously registered in a dictionary and the character corresponding to the handwritten input character is recognized on the basis of the result of the comparison. Otherwise, when the dictionary's character most similar to the input character corresponds to a preset character, the handwritten input character is identified by using characteristic features of the corresponding character. Thus, by comparing ordinary strokes and transition strokes and/or s-e strokes of a handwritten input character sampled on-line with ordinary strokes and transition strokes and/or s-e strokes of dictionary's characters previously registered in a dictionary and recognizing the character corresponding to the handwritten input character on the basis of the result of the comparison, a handwritten input character which was difficult to recognize only by means of ordinary strokes can be recognized with high accuracy.

Stroke display method of handwriting input and electronic device

一種手寫輸入之筆劃呈現方法與電子裝置。此方法包括接收特定字體之選擇，此特定字體具有多種筆法。當電子裝置之觸控輸入模組偵測到觸碰時，取得對應的起始觸碰點。在觸碰持續存在下不斷地取得最新觸碰點，並利用起始觸碰點與最新觸碰點判斷移動方向。當觸碰不存在或移動方向改變時，依據改變前的移動方向判斷觸碰形成之軌跡是否對應上述筆法中的一特定筆法。若是，則根據特定筆法、起始觸碰點與最新觸碰點決定至少一筆劃補點，並且利用起始觸碰點、最新觸碰點與上述筆劃補點建立封閉圖形，以及將封閉圖形顯示於電子裝置之顯示模組。

Method and apparatus for generating a text image

An apparatus, comprising a processor, memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: identify a first element of an image as a character image, determine a first character group comprising at least one character represented by the character image, identify a second element of the image that is a non character image, determine a second character group comprising at least one character indicative of the second element, and generate a first text image comprising the determined character and the determined character representation is disclosed.

Cleaning up of handwriting intra-stroke and inter-stroke overtracing

A method and system for cleaning handwriting for redisplay of the handwriting or for improved recognition accuracy is provided. The cleanup system receives handwriting that has been digitized. The cleanup system then analyzes the handwriting to identify strokes that satisfy a cleanup criterion. When a stroke has been identified as satisfying some cleanup criteria, the cleanup system cleans up the handwriting based on the detected criteria. In this way, the cleanup system generates handwriting that may have a more visually pleasing appearance to the reader.

Identity verification or identification method using handwritten signatures affixed to a digital sensor

A method for identifying or for verifying the identity of a user, using a plurality of previously acquired reference signature vectors, a handwritten signature of the user and at least one additional item of handwritten information linked to the user that are affixed beforehand to an in particular mobile digital sensor, in which method: a) said handwritten signature of the user and said at least one additional item of information are fused in order to generate at least one test signature vector, b) said at least one test signature vector is compared with a plurality of said reference signature vectors, and c) a likelihood score is generated on the basis at least of this comparison in order to identify or to verify the identity of the user.

Configuration of primary and secondary displays

Techniques for configuration of primary and secondary displays are described. In one or more implementations, an apparatus such as a mobile device includes multiple interconnected display devices that can be configured in different ways, such as output primary, input primary, sensor primary, and so forth. At least one implementation enables different zones of a single display surface to be configured as primary and secondary for different purposes, such as input and/or output.

Electronic writing device

The disclosure discloses an electronic writing device comprising an image data specifying portion and a transmission control portion. The image data specifying portion configured to, in a case where a writing determining portion determines that the writing action has been performed, and further a entry determining portion determines that either one of a first storage instruction entry column included in a first page and a second storage instruction entry column included in a second page has been filled in, specify the image data in response to an entry mode in the either one of the storage instruction entry columns as a storage target in an external storage device. The transmission control portion controls a communication device triggered by the entry determining portion detecting entry in the storage instruction entry column to perform transmission for storing the image data specified as the storage target.