Abstract: An information processor includes: a character recognizing unit; a recognized character feature obtaining unit; a translation deciding unit; a translating unit; a translated result feature obtaining unit; an output deciding unit; an image receiving unit; and an output unit that, wherein the character recognizing unit recognizes a character in character image of the image data received by the image receiving unit, and the recognized character feature obtaining unit, in a case where a picture image other than the character is recognized, obtains a third feature related to a character included in the picture image.

Abstract: Systems and methods for character recognition by performing lateral view-based analysis on the character data and generating a feature vector based on the lateral view-based analysis.

Abstract: Searchable annotated formatted documents are produced by correlating documents stored as photographic or scanned graphic representations of an actual document (evidence, report, court order, etc.) with textual version of the same documents. A produced document will provide additional details in a data structure that supports citation annotation as well as other types of analysis of a document. The data structure also supports generation of citation reports and corpus reports. Methods of creating searchable annotated formatted documents including citation and corpus reports by correlating and correcting text files with photographic or scanned graphic of the original documents. Data structures for correlating and correcting text files with graphic images. Generation of citation reports, concordance reports, and corpus reports. Data structures for citation reports, concordance reports, and corpus reports generation. Multiple document data structures are used to create multiple citation documents and reports.

Abstract: A character region extracting apparatus and method which extract a character region through the calculation of character stroke widths are provided. The method includes producing a binary image including a candidate character region from an original image; extracting a character outline from the candidate character region; acquires character outline information for the extracted outline; setting a representative character stroke width and a representative character angle in each of the pixels forming the outline, based on the character outline information; and determining a character existing region in the candidate character region by confirming the ratio of effective representative stroke widths and effective angles as compared to the entire length of the outline. Accordingly, it is possible to efficiently determine whether one or more characters exist in the candidate character region.

Abstract: An image processing apparatus prints a processing instruction sheet for instructing to perform processing on a document to be processed. The processing instruction sheet is printed only when a processing region displayed by a display unit and a content of processing to be performed thereon are determine to be the same as those instructed by a user.

Abstract: A method and system for identifying and acting on a handwritten action item is disclosed. The system may learn a set of user-defined symbols and associate each symbol with an action category. Then, when the system that captures a handwritten action item that includes one of the symbols, it will determine which action category that corresponds to the symbol, identify process parameters in the action item, determine a task to be performed based on the action category, and apply the process parameters to automatically perform the task.

Abstract: 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.

Abstract: An information management apparatus includes a processor and a memory. The memory is configured to store computer-readable instructions that, when executed, cause the processor to perform processes including acquiring stroke data, the stroke data being data representing a trajectory and being data that includes information indicating positions on the trajectory, identifying, based on first stroke data, a first character string that is a character string formed by a first trajectory, identifying, based on second stroke data, a second character string that is a character string formed by a second trajectory, generating an image file that is a data file representing a third trajectory based on third stroke data, storing the image file in storing portion as a file including at least the first character string in a file name, and storing the image file in the storing portion in association with data representing the second character string.

Abstract: A method of inputting a text word in a computerized system using a virtual keyboard, including, recording two or more strokes; wherein each stroke forms contact with the virtual keyboard and maintains contact forming a trace path as it traverses through multiple keyboard keys, each key representing a letter; identifying the word based on the recording; and wherein every distinct letter in the word is represented by a key in one of the trace paths.

Abstract: A method of interaction for an augmented reality environment comprises the steps of capturing an image of a drawn picture comprising one or more drawn shapes, identifying the or each respective drawn shape as corresponding to a component of an archetypal model and generating a three dimensional virtual model representing the archetypal model using generation rules associated with the archetypal model, wherein components of the three dimensional virtual model generated from components of the archetypal model corresponding to the or each respective drawn shape have the appearance of the or each respective drawn shape.

Abstract: The object of this invention is to provide an image processing apparatus in which, in processing of a document image read by a document reading device, an inclination of a character string in the document image which is recognized in character recognition is obtained more accurately. The image processing apparatus includes a similar character extraction portion which extracts and outputs a character group comprised of characters having a shape and a size that are same with or similar to each other from among characters constituting a character string comprised of a character recognized in optical character recognition from a document image read by a document reading device; and an inclination calculation portion which calculates an inclination value of the character string based on position information of each character of the character group output from the similar character extraction portion.

Abstract: According to one embodiment, an electronic apparatus includes a storing module and a display controller. The storing module stores a plurality of handwritten document data in a storage medium, each of the handwritten document data including stroke data corresponding to strokes, and region data indicative of a first region set for one or more first strokes of the plurality of strokes, the first strokes corresponding to a symbol. The display controller displays, if the plurality of handwritten document data are searched by a search key and the search key corresponds to the symbol, a list of first regions in the plurality of handwritten document data, the first regions corresponding to the symbol.

Abstract: According to one embodiment, an electronic apparatus includes a display processor, and a correction calculator. The display processor is configured to display strokes corresponding to coordinates of loci of contact points on a display. The correction calculator is configured to calculate a correction direction and a correction quantity to correct a coordinate, by using a position of a first handwritten character recognizable from the strokes and a position of a second handwritten character recognizable from the strokes.

Abstract: A packet is compared to a pattern defined by a regular expression with back-references (backref-regex) in a single pass of a non-deterministic finite automaton corresponding to the backref-regex (backref-NFA) that includes representations for all backref-regex's back-references. The packet's characters are sequentially selected and analyzed against the backref-NFA until a match or no-match between the packet and pattern is determined. Upon selecting a character, a corresponding configurations-set is updated, where the set includes configurations associated with respective NFA-states of the backref-NFA and indicating whether the selected character is being matched against a back-reference. With the configurations-set being updated the comparison process proceeds along backref-NFA's NFA-states. The updated configurations-set includes configurations associated with NFA-states reachable from the configurations in the pre-updated set. When the configurations-set includes a final state, a match is determined.

Abstract: A medication order processing system (10) includes a plurality of nursing stations (12, 14, 16). Physician orders prescribing medications for patients are faxed from the nursing stations to a computer which is included in an interchange fax station (28) located at the pharmacy. The interchange fax station is operative to prioritize the orders and to present them to pharmacists working at pharmacist work stations (40, 42). Pharmacist work stations are enabled to review, electronically annotate, and input orders reviewed at the pharmacy work station into a pharmacy order system of the facility. Input to the pharmacy order system results in the medication being administered to the patient. Data related to each patient to which a medication order pertains is captured from screen outputs from the pharmacy order system. The captured data is analyzed to produce data that is stored in a database of the medication order system in correlated relation with image data corresponding to images of medication orders.

Abstract: An information processing apparatus accepts an input onto a display screen displayed on a display device. The information processing apparatus determines an input method of a first input using a first time and/or a first trajectory information from a start point to an end point of the accepted first input. The information processing apparatus stores the first trajectory information of the first input in a storage unit for storing therein the trajectory information of an input of which the input method has been determined. The information processing apparatus restores trajectory information of the input that was accepted by accepting, using the first trajectory information stored in the storage unit and trajectory information of a second input if a result of determination with respect to the second input accepted within a predetermined time since the first input is input is different from the input method of the first input.

Abstract: According to one embodiment, an information processing system includes a recorder and a first detector. The recorder is configured to record stroke data representing strokes written by hand. An order relationship between the stroke data items is recognizable in the stroke data. The first detector is configured to detect an orientation of a character corresponding to the strokes represented by the stroke data, based on a positional relationship and an order relationship between at least two strokes.

Abstract: An information processing apparatus includes a gesture locus data recognition unit configured to execute processing for recognizing gesture locus data included in locus data according to characteristic data of the locus data and gesture characteristic shape data included in gesture dictionary data and output a result of the processing, a separation unit configured to separate gesture locus data and locus data other than the gesture locus data from the locus data according to the result of the recognition by the gesture locus data recognition unit, and a character locus data recognition unit configured to execute processing for recognizing locus data of a character included in the locus data other than the gesture locus data according to the characteristic data of the locus data other than the gesture locus data which is separated by the separation unit, and the locus characteristic data of a character included in a character dictionary data, and output a result of the processing.

Abstract: An input recognizer performs a processing of recognizing handwriting input or soft key input, and a processing of calculating a length of a trajectory which a depressing coordinate has moved by repeating acquisition of the depressing coordinate on an input screen in response to an interruption command requesting input recognition. An interruption commander selectively performs a handwriting input mode and a soft key input mode. An input mode switcher sets a mode of the interruption commander to the soft key input mode when a depressing start of a touch panel portion is detected, and switches the mode of the interruption commander from the soft key input mode to the handwriting input mode when the input recognizer recognizes that the length of the trajectory which the depressing coordinate has moved from detection of the depressing start reaches a predetermined value.

Abstract: The present invention discloses methods of archiving and optimizing lectures, presentations and other captured video for playback, particularly for blind and low vision individuals. A digital imaging device captures a preselected field of view that is subject to periodic change such as a whiteboard in a classroom. A sequence of frames is captured. Frames associated with additions or erasures to the whiteboard are identified. The Cartesian coordinates of the regions of these alterations within the frame are identified. When the presentation is played back, the regions that are altered are enlarged or masked to assist the low vision user. In another embodiment of the invention, the timing of the alterations segments the recorded audio into chapters so that the blind user can skip forward and backward to different sections of the presentation.

Abstract: A bit code converter transforms a learning feature vector using a transformation matrix updated by a transformation matrix update unit, and converts the transformed learning feature vector into a bit code. When the transformation matrix update unit substitutes a substitution candidate for an element of the transformation matrix, a cost function calculator fixes the substitution candidate that minimizes a cost function as the element. The transformation matrix update unit selects the element while sequentially changing the elements, and the cost function calculator fixes the selected element every time the transformation matrix update unit selects the element, thereby finally fixing the optimum transformation matrix.

Abstract: Video-based handwriting input for biometric signature data collection is provided. The invention is implemented by finding all of the relative positions among all light points of light sources when all light sources mounted on a stylus are turned ON. An image is captured including effective strokes and digital data of pen pressure with a digital camera when a user writes on a writing surface with a stylus having a light source indicating x-y coordinates of strokes. The images are time-stamped. The stylus includes a micro-switch. When the stylus touches the writing surface, the micro-switch is turned on to let the light source indicating x-y coordinates of strokes turn ON and generate a light point. Effective stroke images and digital data of pen pressure are extracted by comparing the captured images with the light point on the stylus.

Abstract: A method of inputting a character to a computing unit. The method comprises capturing a stroke drawn by a user in relation to a reference zone, identifying a combination of a shape and a relative position of the stroke in relation to the reference zone, automatically selecting one of a plurality of characters from according the combination, and providing the selected character as an input to the computing unit from the user.

Abstract: Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram analysis to determine complete shapes from partial shape entries and autocomplete suggestions provided to users for conversion of the shape into a known object.

Abstract: A handwriting apparatus has unit for acquiring first-handwriting data, storage unit for storing one-stroke-handwriting data and a first command as an instruction. The instruction corresponds to the one-stroke-handwriting data. When the first-handwriting data corresponds to the one stroke, a unit executes the first command when the corresponding first command is searched from the storage unit, a unit stores one-stroke-handwriting data and a second command as an instruction that corresponds to the one-stroke-handwriting data. The second command is different from the first command, and searches the storage unit for the second command corresponding to the one-stroke-handwriting data. There is a unit, when the corresponding second command is searched out from the storage unit, to execute the corresponding second command.

Abstract: A computerized method of recognizing an input hand-drawn table formed by freeform line objects comprises transforming each freeform line object of the table into one of a vertical line segment and a horizontal line segment, generating a grid system based on the vertical and horizontal line segments and converting the generated grid system into a table object.

Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.

Abstract: One embodiment of the present invention relates to a machine-readable form configuration (and associated method). Another embodiment of the present invention relates to a system for interpreting at least one user mark (and associated methods). In one example, a plurality of user marks may be interpreted. In another example, the machine-readable form may be a lottery play slip, survey, test, or the like. In another example, the system may interpret user mark(s) made on a lottery play slip, survey, test or the like. In another example, the system may interpret user mark(s) made on a paper or the like having non-planar distortion(s).

Abstract: Systems, methods, and applications for detection text in a raster image include converting a raster image into a vector representation of the image, identifying pairs of shapes of similar size and within a predefined distance of one another, forming shape graphs from the identified shape pairs, identifying chains of shapes from the formed shape graphs, determining characteristic chain lines associated with the identified chains of shapes, straightening the identified chains of shapes into a straight line based on the corresponding chain lines associated with the respective identified chains of shapes, and classifying the straightened identified chains as text or non-text using an automatic text classifier.

Abstract: According to one embodiment, a data processing system includes a touchscreen display, a recorder, and a processor. The recorder is configured to record a plurality of stroke data indicating loci handwritten on the touchscreen display and times respectively. The processor is configured to execute data processing using a first time indicated by first stroke data associated with first data and a second time indicated by second stroke data associated with second data.

Abstract: According to one embodiment, a device includes a search module configured to search handwriting information stored in a storage medium for a first handwriting information part whose degree of a similarity with a specific handwriting information part specified as a search key is greater than or equal to a reference value, the handwriting information includes a plurality of stroke data corresponding to a plurality of strokes, and a display processing module configured to display, on a touchscreen display, one or more thumbnail corresponding to handwriting information includes the first handwriting information part and a first user interface for changing the reference value.

Abstract: A scanner includes a scanning module and a base. The scanning module includes a loading panel and a driving module. The base includes a bottom panel, a sliding portion, and a first resisting tab extending from the bottom panel. A sliding slot is defined in the sliding portion to receive the scanning module. The first resisting tab includes a first tab body extending from the bottom panel and a first resilient absorbing portion connected to the first tab body. The first resilient absorbing portion resists the loading panel to prevent movement of the loading panel when the loading panel moves to a first side of the sliding slot.

Abstract: Enhanced rejection of out-of-vocabulary words, in which, based on applying an input gesture to hidden Markov models collectively modeling a vocabulary of training gestures, a likelihood that the input gesture matches each training gesture, and a quantity of states of the input gesture that match corresponding states of a modeled training gesture determined to have a highest likelihood are determined. The input gesture is rejected if the determined quantity does not satisfy a threshold.

Abstract: In an aspect, a method includes the actions of displaying, at a touch-sensitive display, a plurality of characters that each represent a distinct consonant included in a language script; receiving, at the touch-sensitive display, a touch selection of a first character from the plurality of characters, the touch selection being received at a location on the touch-sensitive display at which the first character is displayed; and in response to receiving the touch selection: detecting a gesture input, selecting a vowel marker based at least in part on an association of the gesture input with one or more vowel markers; and displaying, at the touch-sensitive display, an updated representation of the first character based at least in part on the selected vowel marker. Other embodiments of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

Abstract: Methods for interacting with an electronic document are provided wherein: a) positional input information and its associated data such as symbols or commands that communicate operations that can be applied to elements, such as a selection or an addition of characters or graphics lines, at locations within the electronic document, along with b) relevant insertion locations as variables or pointers associated with executable operations indicative of a plurality of potential locations in the electronic document, potential locations which are accessible by executable operations and at which the communicated operations can be applied to elements, are utilized to: 1) correlate values of the positional input with locations in the electronic document at which to apply the communicated operations to elements, 2) edit the electronic document, and 3) group a plurality of input data into consolidated operations and the locations at which to apply them to elements.

Abstract: A method and system for preprocessing an image, wherein the image includes a plurality of columns, or regions, of text is disclosed. A plurality of components associated with the text is determined. On determining the plurality of components, a line height and a column spacing is determined for the components. The components are then associated with a column based on the line height and the column spacing. A set of characteristic parameters are calculated for each column and the plurality of components of each column are merged based on the characteristic parameters to form sub-words and words. A first plurality of words and/or subwords is merged and processed as a first region and a second plurality of words and/or subwords is merged and processed as a second region wherein at least a portion of the second region vertically overlaps at least a portion of the first region.

Abstract: A method for analyzing groups of hand-drawn inputs receives from a set of computing devices a corresponding set of hand-drawn inputs. A user in a group of users interacts with a device in the set of devices to provide a hand-drawn input in the set of hand-drawn inputs corresponding to the device. The method analyzes a subset of the set of hand-drawn inputs to determine an accuracy of the hand-drawn inputs in the subset. The method generating a result responsive to the analyzing and presents the result.

Abstract: An image processing apparatus supports image processing in multiple languages via a user interface, a determining unit, a setting unit, and a character recognizing unit. The user interface sets an instruction from a user for various functions performed by the image processing apparatus. The user interface displays characters in a language. The determining unit automatically determines the language currently used for the characters displayed in the user interface of the various functions. The setting unit sets, in response to the determining unit automatically determining the language currently used for the characters displayed in the user interface, the determined language as a scanned document language for use in recognizing characters in a scanned document which is obtained by scanning a paper document. The character recognizing unit utilizes the scanned document language set by the setting unit to recognize characters in the scanned document and create text data.

Abstract: An exemplary method includes receiving stroke information for a partially written East Asian character, the East Asian character representable by one or more radicals; based on the stroke information, selecting a radical on a prefix tree wherein the prefix tree branches to East Asian characters as end states; identifying one or more East Asian characters as end states that correspond to the selected radical for the partially written East Asian character; and receiving user input to verify that one of the identified one or more East Asian characters is the end state for the partially written East Asian character. In such a method, the selection of a radical can occur using radical-based hidden Markov models. Various other exemplary methods, devices, systems, etc., are also disclosed.

Abstract: This invention generates a digital document by applying character recognition to character images in a document image, and rendering the character recognition result on the document image in a transparent color. This digital document allows to specify a part corresponding to a search keyword on the document image upon conducting a search. When this digital document is generated, it includes a description required to use glyph data (font data) of a simple character shape commonly to a plurality of character types as font data used upon rendering the character recognition result. Therefore, even when the digital document needs to save font data, an increase in file size can be minimized. Also, by rendering using a simple character shape, the data size of the font data itself can be reduced.

Abstract: A technique provides user authentication. The technique involves generating a pointer data profile entry in a pointer data profile database, the pointer data profile entry having a pointer data profile which is based on first pointer data obtained during a first user session. Such pointer data can be collected from a standard pointing device such as an electronic mouse, a touch-based track pad, a trackball, a scroll wheel, etc. The technique further involves receiving new pointer data during a second user session, and performing an authentication operation based on (i) the pointer data profile entry in the pointer data profile database and (ii) the new pointer data to determine whether a user providing the first pointer data during the first user session and a user providing the new pointer data during the second user session is the same person.

Abstract: Recurring components found in Chinese-type characters can be identified and classified by stroke count and free-endpoint count according to embodiments of the present invention. The bidirectional many-to-many relationships between characters and their components can be identified and recorded in electronic or non-electronic format and the recurring components can be ordered and retrieved according to stroke-endpoint value pair. In accordance with an embodiment, bidirectional many-to-many relationships between simple and composite components can be identified and recorded in an electronic or non-electronic format. An embodiment can provide a classification/retrieval method and apparatus for rapid search and retrieval of Chinese-type characters and their components based on stroke-endpoint value pairs and relationships between components and characters.

Abstract: Determination of an underlying grid structure that facilitates layout of East Asian text is disclosed. The underlying grid structure includes both a size of character frames and a size of a text block frame. The East Asian text may be obtained from a scan of printed material that has the text formatted according to layout conventions established by the publisher. The text may be reformatted to appear on a display of an electronic device in a manner similar to the formatting in the original scanned document. Reformatting may include reflowing the text in order to fit a greater or lesser number of characters on a line. The reflowing may maintain character spacing from the original document and follow formatting rules against locating certain characters at the start or end of a line.

Abstract: An input-handwriting automatic transformation system capable of automatically transforming handwriting input to a font most similar to the input handwriting, the system including a recognizing unit recognizing handwriting input via an input pad; an extracting unit extracting a font most similar to the input handwriting from fonts stored in a memory; and a transforming unit comparing the font extracted by the extracting unit and the input handwriting and automatically transforming the extracted font to be most similar to the input handwriting.

Abstract: Script detection service techniques are described. In an implementation, values representing individual text characters in a string of one or more text characters are identified to determine which human writing system is associated with the individual text characters. The values are compared to a table that associates subsets of values with individual human writing systems. The values are determined to be within a particular subset of values in the table that correspond to a particular human writing system. A particular human writing system is designated as associated with the string based on the values associated with the individual text characters in the string being within the particular subset of values that corresponds with the particular human writing system.

Abstract: A system and method for creating one of a plurality of test decks to qualify and test forms processing systems, including preparing a handprint snippet data base containing labeled handprint image snippets representing a unique hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file and printing the form image.

Abstract: Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

Abstract: An embodiment of the invention provides a method including receiving input from a user, which includes a handwritten symbol. The input is compared to prototype symbols to determine whether the input includes a threshold degree of similarity with a prototype symbol. If the input does not include a threshold degree of similarity with a prototype symbol, the input is stored as a prototype symbol. If the input includes a threshold degree of similarity with a prototype symbol, it is determined whether the input represents a text character. If the input represents a text character, the text character is identified and a prototype text character is identified. The input is mapped to the identified text character and the identified prototype text character. If the input does not represent a text character, the input is mapped to a prototype shape, and the input is mapped to the prototype shape.

Abstract: A system for recognizing handwriting. A handwritten character is captured as an image of black pixels and white pixels. The image is partitioned into segments, each of which having a pixel ratio of a total number of black pixels in the segment to a total number of black pixels in the image. A reference character has segments corresponding to the image segments. Each reference character segment has a value range of a pixel ratio of a total number of black pixels in the segment of the reference character to a total number of black pixels in the reference character. It is ascertained that the pixel ratio of more than a predetermined number of segments in the image are within the value range of the pixel ratio of the corresponding segments of the reference character, from which, the handwritten character is recognized as the reference character.