Abstract: A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

Abstract: Methods and systems for extracting and processing data using optical character recognition in real-time environments. For example, the methods and systems provide novel techniques during extracting data using OCR and for a mechanism to process that data. These methods and systems are particularly relevant in real-time environments as the methods and system limit the need for manual review.

Abstract: A handwriting forming method, a handwriting forming apparatus, and an electronic device are provided. The method includes: determining a group of plurality of trajectory points according to a plurality of sampling points on a writing path on a working surface of a touch device, and obtaining trajectory information of each of the plurality of trajectory points, and the trajectory information including a coordinate, a flag bit and a pressure value; establishing a plurality of trajectory units in a raindrop shape corresponding to the plurality of trajectory points based on the trajectory information; determining a connection mode between trajectory units corresponding to adjacent trajectory points based on the trajectory information; and calculating connection points of the trajectory units according to the connection mode, and filling a polygon formed by the connection points of the trajectory units corresponding to the adjacent trajectory points, so as to form a handwriting for displaying.

Abstract: A method for content interaction through overlays on a mobile device includes the steps of receiving a content on a display of the mobile device, generating an overlay image on the received content, matching the overlay image only or together with received content to a set of templates for identifying a template associated with the overlay image only or together with received content, identifying a template matched to the overlay image only or together with received content, assigning the overlay template and an action, if any associated with the template, to the received content.

Abstract: A Computer Vision (CV) model generated by a Machine Learning (ML) system may be retrained for more accurate computer image analysis in Robotic Process Automation (RPA). A designer application may receive a selection of a misidentified or non-identified graphical component in an image form a user, determine representative data of an area of the image that includes the selection, and transmit the representative data and the image to an image database. A reviewer may execute the CV model, or cause the CV model to be executed, to confirm that the error exists, and if so, send the image and a correct label to an ML system for retraining. While the CV model is being retrained, an alternative image recognition model may be used to identify the misidentified or non-identified graphical component.

Abstract: Systems and methods for providing answers to digitally inked questions within an electronic document. One system includes an electronic processor configured to receive detected interactions between a touchscreen and a digital pen representing one or more digital strokes within a canvas and determine whether the one or more digital strokes match a predetermined signifier. The electronic processor is also configured to, in response to determining that the one or more digital strokes match the predetermined signifier, determine a digital ink instance included in the canvas based on a position of the one or more digital strokes within the canvas, extract text from the digital ink instance, submit the extracted text to an answer service as a query, receive a text-based answer to the query from the answer service, convert the text-based answer to digital ink, and add the digital ink to the canvas.

Abstract: The subject technology provides for receiving a new input stroke. The subject technology determines whether the new input stroke is associated with an existing line group based on a writing direction estimate of the existing line group. The subject technology merges the new input stroke with the existing line group in response to determining that the new input stroke is associated with the existing line group. The subject technology determines a local orientation of the existing line group including the new input stroke based on an estimate of a direction of writing and a scale of each stroke. The subject technology normalizes the existing line group including the new input stroke using the determined location orientation.

Abstract: Systems and methods for annotating conversations between a user and an electronic assistant in a hierarchical manner are disclosed. An example system includes a data store of hierarchical annotation records. The hierarchical annotation records include root records and non-root records. Each root record has a conversation identifier and an annotation identifier. Each non-root record includes an annotation identifier and a parent identifier, the parent identifier being an annotation identifier of another record. At least some of the non-root records further include an annotation tag. The system generates a first new root record and first non-root records for an input dialog act and generates a second new root record and second non-root records for an output dialog act that is responsive to the input dialog act. At least one of the second non-root records includes an annotation tag linking back to a record of the first non-root records.

Abstract: A range of dates is selected. For each date of the range of dates, a daily task list is displayed listing at least a portion of tasks having a start date or a due date matching the date. A user selection determines whether the daily task list includes only tasks having the start date or the due date for each date in the range of dates, or includes any task completed on each date. Appointments for each date in the range of dates may be presented, and the daily task list for each date may be displayed beneath, above, or alongside the appointments, or as part of a to do list. The tasks each may be assigned a color code allowing a task to be visually associated with another task or other object to which the color code also has been assigned.

Abstract: The disclosed invention provides system and method for whole word conversion of text in an image. The system and method may convert the text in the image into Unicode strings. The system and method utilizes comparable features of word segments that are extracted from the text in the image. The comparable features of the word segments are created by mirroring comparable features of word templates stored in a conversion database. Word templates in the database are filtered by comparing the comparable features of the word segments with comparable features of the word templates in the database. The word segments are correlated to matching word candidates. Word confusion networks are constructed with the matching word candidates, and the word confusion networks are evaluated to output matching words for the word segments. This system and method reduce the search space in the database improving search efficiency.

Abstract: An example process for recognizing handwritten input includes obtaining input data representing handwritten input, where the handwritten input is associated with a first dimension and a second dimension relative to the handwritten input; sampling the input data to obtain a plurality of coordinates representing the handwritten input; determining, based on the plurality of coordinates, a sequence of vectors representing a respective plurality of portions of the handwritten input, where: each portion of the respective plurality of portions is associated with a respective height and width corresponding respectively to the first and second dimensions, the respective height being greater than the respective width; and consecutive vectors of the sequence of vectors represent respective consecutive portions of the handwritten input; generating, using a handwriting recognition model, based on the sequence of vectors, one or more characters for the handwritten input; and causing the one or more characters to be display

Abstract: The present disclosure relates to a tag-based font recognition system that utilizes a multi-learning framework to develop and improve tag-based font recognition using deep learning neural networks. In particular, the tag-based font recognition system jointly trains a font tag recognition neural network with an implicit font classification attention model to generate font tag probability vectors that are enhanced by implicit font classification information. Indeed, the font recognition system weights the hidden layers of the font tag recognition neural network with implicit font information to improve the accuracy and predictability of the font tag recognition neural network, which results in improved retrieval of fonts in response to a font tag query. Accordingly, using the enhanced tag probability vectors, the tag-based font recognition system can accurately identify and recommend one or more fonts in response to a font tag query.

Abstract: A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.

Abstract: A technique is described herein for effectively exposing annotation information in a document for use by various applications. The technique involves generating a tag tree data structure that identifies a collection of tag elements associated with a document. The technique also generates an overlay data structure that identifies a collection of annotations associated with the document. The overlay data structure also links the annotations to corresponding parts identified in the tag tree data structure. The technique then uses the tag tree data structure and the overlay data structure to provide information to a document-consuming component that conveys an order in which one or more annotations appear in the document relative to one or more parts in the document. According to one illustrative aspect, at least one annotation described by the overlay data structure is an active annotation, corresponding to a transient annotation that has not been saved.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, one or more input words can be received. The process can extract, based on the one or more input words, seed data for unsupervised training of a first learning network. Training data that includes a collection of words having typographical errors for the first learning network can be obtained. The process can determine, using the first learning network and based on the seed data and the training data, one or more output words having a probability distribution corresponding to a probability distribution of the training data. The one or more output words can include typographical errors. The process can generate, based on the determined one or more output words, a data set for supervised training of a second learning network. The second learning network can provide one or more typographical error suggestions.

Abstract: An electronic device and method are disclosed herein. The electronic device includes: a processor, and a memory operatively connected to the processor.

Abstract: An electronic device, more particularly an electronic stylus, for generating analogue strokes, more particularly handwriting, and for digitally storing the analogue strokes, wherein the device includes components of a writing, drawing and/or painting device for creating analogue recordings on a recording medium, more particularly paper, wherein the device also includes electronic components and software for expanding the device into a digital writing and/or input device. The device has at least one localization unit, more particularly a camera, and as a result of the localization unit a localization between the device and a recording medium is created. The device has at least one motion detection unit, as a result of which, the motions of the device and analogue recordings generated therewith are digitally detected on a recording medium. The motion detection unit is designed as a laser tracker.

Abstract: An electronic apparatus and a method for controlling the electronic apparatus are provided, the method includes displaying an image window on a first part of a writing area of a display; displaying, based on a first user input for writing being detected on a second part of the writing area that is outside the image window, first writing information corresponding to the first user input on the writing area with a first thickness that is predetermined; and displaying, based on a second user input for writing being detected on the image window, second writing information corresponding to the second user input on the image window with a second thickness that is set according to the first thickness and a display magnification of the image window.

Abstract: A method and system for determining originality of computer-generated images of document evidence. The method includes receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source; generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs); searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROls, wherein the first array of ROIs substantially matches the second array of ROIs; and associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the verified entity.

Abstract: Disclosed are a method, a system, and a non-transitory computer readable medium for identifying data entries associated with an entity. A first rule is applied on a plurality of data entries associated with a plurality of entities to obtain a first set of data entries from the plurality of data entries. Each data entry includes corresponding attributes. The first rule is to search for data entries with a first group of attributes. A second rule is applied on the plurality of data entries associated with a plurality of entities to obtain a second set of data entries from the plurality of data entries. The second rule is to search for data entries with a second group of attributes. A third set of data entries associated with a single entity is obtained based on the first set of data entries and the second set of data entries.

Abstract: A system, method and computer program product for guiding hand-drawing of diagrams including text and non-text elements on a computing device are provided. The computing device has a processor and a non-transitory computer readable medium for detecting and recognizing hand-drawing diagram element input under control of the processor. Display is performed, on an interactive display of the computing device, of a guide element associated with at least one diagram element of displayed handwriting diagram input. The guide element is configured with a depiction of the at least one diagram element in recognized form.

Abstract: A method for generating and displaying a user-customized page and a mobile device thereof are provided. The method for processing a user-customized page in a mobile device includes collecting use information of a user with respect to the mobile device when a preset specific situation occurs, generating a user-customized page associated with the specific situation using the use information when the specific situation is terminated, and storing the generated user-customized page.

Abstract: A word score calculation device according to an embodiment includes an input unit and a calculating unit. The input unit receives input of a string of words including known words, which are known already, and new words, which are not yet known. The calculating unit inputs the lexicon feature of a word, which is included in the string of words, in a neural network in which one or more unit groups for inputting the lexicon features of words are included in an input layer, and calculates a word score of the target word included in the string of words.

Abstract: Systems and methods for digitized document image data spillage recovery are provided. One or more memories may be coupled to one or more processors, the one or more memories including instructions operable to be executed by the one or more processors. The one or more processors may be configured to capture an image; process the image through at least a first pass to generate a first contour; remove a preprinted bounding region of the first contour to retain text; generate one or more pixel blobs by applying one or more filters to smudge the text; identify the one or more pixel blobs that straddle one or more boundaries of the first contour; resize the first contour to enclose spillage of the one or more pixel blobs; overlay the text from the image within the resized contour; and apply pixel masking to the resized contour.

Abstract: An input apparatus performs character recognition on trajectory data that is input by handwriting, determines whether or not an order of recognized characters complies with a rule on mathematical representations, and if it is determined that the recognized characters, except for a first character at any position in a sequence of the characters, comply with the rule, replaces the first character with a second character that complies with the rule.

Abstract: A non-transitory computer-readable recording medium stores a data search program that causes a computer to execute a process including: receiving a search character string for target text data; and searching for the search character string by a logical operation between index information associated with appearance positions in the target text data of each of characters or words appearing in the target text data as bitmap data and search bitmap data generated to be associated with an appearance order in the search character string of respective characters or respective words constituting the search character string.

Abstract: A method for recognizing a screen-off gesture, and a storage medium and a terminal thereof are disclosed. The method includes reading, when it is detected that the user inputs a screen-off gesture, gesture data of the screen-off gesture from the touch chip according to a set period. The method also includes determining, when the gesture data satisfies a preset matching condition and does not contain a preset end identifier, a screen-off gesture trajectory based on gesture coordinates that have been read. Furthermore, the method includes matching the screen-off gesture trajectory with each preset gesture trajectory in the preset gesture trajectory set. Moreover, reading operation of the gesture data is stopped when the screen-off gesture trajectory does not match any of the preset gesture trajectories in the preset gesture trajectory set.

Abstract: Systems and methods are provided for handwriting recognition. Handwriting data is received. Geometric data of text in handwriting data is determined. Sub-characters of the text are determined. Sub-characters of text are matched to a model. Most probable characters of the text are determined based on the matching.

Abstract: A method of retrieving data comprises receiving a user input in the form of a command, determining that the user input is a gesture, sending a request to a cloud server based on the determined gesture, receiving data from a knowledge base connected to the cloud server based on the request, and displaying virtual content at the user device based on the received data.

Abstract: 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.

Abstract: Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data.

Abstract: A system of human capital management is provided for implementing a plurality of integrated interfaces for the creation, management, delegation, tracking and monitoring of development plans for one or more individuals. A method is also provided for managing human capital by managing the developmental needs of an individual. This novel method includes defining a plurality of developmental needs (e.g., goals, conditions and tasks) to be achieved or completed by an individual, consolidating the developmental needs into a development plan specific to the user and tracking the progress of the individual with respect to the development plan in a single integrated application.

Abstract: In the current artificial intelligence field, models of deep learning that is prevalent can only map functions. Therefore, a machine learning model with higher performance is desirable. The issue is to construct a machine learning model that enables deep competitive learning between data based on the exact distance. A precise distance scale is submitted by unifying Euclidean space and probability space. It submits a measure of the probability measure of fuzzy event based on this distance. Or, it constructs a new neural network that can transmit information of the maximum probability. Furthermore, super deep competition learning is performed between data having very small ambiguous fuzzy information and minute unstable probability information. By performing integral calculation on this result, it has become possible to obtain dramatic effects at tape macro level.

Abstract: A method is presented for error correction of tabular data in document conversion. The method includes identifying errors from tabular data transformation by employing an error/invalidation checking module and correcting the identified errors from the tabular data transformation by employing an error correction module. The error correction module includes identifying a main structure pattern from common row structures, concatenating separate keywords according to natural language processing models employing training data obtained from a plurality of candidate tabular data, adjusting cells in the tabular data based on a domain-specific knowledge database including the training data in combination with linguistic and semantic knowledge, merging partial tabular data pieces, and generating an adjusted table as output on a display of a computing device.

Abstract: The present disclosure includes systems and methods for handwriting recognition. Handwriting data is received. Geometric data of text in handwriting data is determined. Sub-characters of the text are determined. Sub-characters of text are matched to a model. Most probable characters of the text is determined based on the matching.

Abstract: A function for configuring a screen reflecting user preference is implemented when formlets are displayed to indicate function items of a mobile communication terminal. The size, position and shape of a formlet on which an indicator is positioned are changed by user settings in a state in which multiple formlets are displayed, thereby increasing accessibility to a formlet of high preference to a user and also increasing display visibility.

Abstract: A device for providing handwritten content is provided. The device includes a controller configured to segment handwritten content into a plurality of objects by grouping strokes included in the handwritten content and process the respective segmented plurality of objects in a form of a selectable object, and a display configured to display the handwritten content including the processed plurality of objects.

Abstract: Systems and methods for managing and processing building plan documents. An electronic building plan document including a plurality of plan sheets is received. A first plan sheet is provided for display. A user interface is provided via which a user can select or enter a first comment associated with the first plan sheet. A user interface is provided via which the user can associate metadata, including a project type or discipline, with the first comment. A first plurality of comments, including the first comment, is stored in association with respective metadata. A user interface via which the user can select, by category and/or subcategory a plurality of comments to be included in a plan correction list, and a correction list is generated including a plurality of comments specified by a plurality of users.

Abstract: In one embodiment, a system, method, and computer program product are provided to: display a textual word; detect a gesture via the touch screen on the textual word; in a first touch state, perform a first function in connection with the textual word; in a second touch state, perform a second function in connection with the textual word, the second function including selecting the textual word so as to display a selection of the textual word in a separate virtual display layer that is at least partially transparent or translucent for viewing an insertion point of the textual word.

Abstract: An ink object component of a content creation application is provided that can transform an ink object into a multi-layered ink object that enables a user to move between the layers without losing access to the previous layers or the original ink object. One or more ink strokes can be received, displayed, and stored in an ink object. The ink object can be transformed into a multi-layered ink object by obtaining content objects based on recognized entities of the ink object and generating a data structure storing the content objects associated with the ink object. Conversion between layers of the multi-layered ink object can be performed in response to a designated gesture and can include displaying any of the content objects or the one or more ink strokes in place of the one or more ink strokes.

Abstract: The present application relates to a method and device for segmenting lines in a line chart. The device converts a line chart in which N legends are detected from an RGB color model to an LAB space model to obtain an LAB value of each legend in the line chart and an LAB value of each pixel in the line chart respectively; performs Euclidean distance calculation on the LAB value of each legend and the LAB value of each pixel in the line chart to generate N color difference distribution maps, one legend corresponding to one color difference distribution map; and finds out the minimum in each color difference distribution map, setting a segmentation threshold with reference to the minimum, and segmenting a rough line corresponding to the color difference distribution map in the color difference distribution map according to the segmentation threshold.

Abstract: A method of identifying substantially similar data fields may include accessing a first/second text strings, performing an approximate string-matching algorithm that generates a first score, and comparing the first score to a first threshold. The method also includes performing an exact string-matching algorithm that generates a second score and comparing the second score to a second threshold. The method further includes generating a third score by combining a weighted first score with a weighted second score and comparing the third score to a third threshold. The method also includes determining whether the first text string is substantially similar to the second text string based on the three score comparisons.

Abstract: A system, method and computer program product for use in beautifying digital ink of 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 at least one application for recognizing the handwriting input under control of the processor.

Abstract: Useful search results are obtained when the search logic retrieves, not only text strings, or “words,” that match exactly the search arguments but also when the search logic retrieves phonetically similar words, which are misspelled. The method and system disclosed herein provide both results faster than known conventional methods and systems, and in some embodiments such speed may be achieved using conventional resources as described.

Abstract: Methods and system for enabling locally generated transition graphics interaction with virtualized host computer service includes receiving a control command issued by a user to control screen data currently being rendered at the display device, at a display device of a client device. The control command is transmitted to the host computer service for processing. The host computer service processes the control command and returns updated screen data to the client device. In response to the receipt of the updated screen data, the client device identifies a desired screen effect associated with the control command. The updated screen data received from the host computer service is packaged at the client device with data associated with the desired screen effect to generate a visual response at the client device. The packaged screen effect is returned to the display device for rendering, in response to the control command.

Abstract: A minimum edit cost is determined between the candidate string and a model string, where the model string includes at least one blank model character located at a first character position between two consecutive non-blank model characters. The minimum edit cost is representative of a cost of edit operations performed on the candidate string to satisfy characteristics of the model string, and includes: responsive to determining that there is a non-blank candidate character at a second character position of the candidate string and that the second character position is associated with the first character position of the blank model character in the model string, a cost of performing a delete operation of the non-blank candidate character from the candidate string, and a cost of performing an insert operation of a blank character in the candidate string at the second character position are computed, and added to the minimum edit cost.

Abstract: Systems and methods of communicating with an unsupported input device to make an application interact with the unsupported input device are described herein. The method comprises obtaining, for the application to be subscribed to the unsupported input device, a mapping of each of a plurality of hotkeys with a corresponding function performed in the application. The method further comprises retrieving a list of universal identifiers, where each of the universal identifiers corresponds to an unsupported input of the unsupported input device. Also, each of the universal identifiers is tagged with a function to be performed in the application in response to the corresponding unsupported input. The method also includes generating a configuration map for the application. The configuration map comprises a mapping of at least one universal identifier, from amongst the list of universal identifiers, with at least one of the plurality of hotkeys.

Abstract: A method for data presentation includes assembling a set of documents in response to a search query by a user having a social network. A respective person is identified with each of a group of documents in the set. For at least one document in the group, a chain of one or more links is found in the social network between the respective person and the user. A search results page is displayed, including an identification of the at least one document together with a sequence of breadcrumbs corresponding to the one or more links in the chain.

Abstract: An image recognizing method adopted by a platform is disclosed. The method first receives multiple targets to be recognized at the platform, and inquiries a pre-established semantic tree by reference to the targets for determining if the recognition results of the multiple targets will cause confusion or not. If confusion is not foreseeable, the method obtains respectively a parent-classifier corresponding to each parent-category of each of the targets, and uses the parent-classifiers directly to perform a recognition action to the targets. Otherwise, the method obtains respectively multiple child-classifiers corresponding to multiple subcategories below each of the targets, and uses the multiple child-classifiers to perform such recognition action to the targets.

Abstract: A character recognition method is provided, including the steps of: recognizing a character string, which includes one or more characters, in a region of interest (ROI) using a first convolutional neural network (CNN) model to generate a recognized character string; and comparing the recognized character string with a plurality of character strings in a character database to find a character string corresponding to the recognized character string, wherein each of the character strings includes one or more characters; wherein if the character string corresponding to the recognized character string is found, the recognized character string is used as a character recognition result, otherwise, using a second CNN model to correct the recognized string and generate a new recognized character string as the character recognition result.