Abstract: The disclosed embodiments illustrate a method for comparing handwriting in a first electronic document and a second electronic document. The method includes extracting, by one or more processors, one or more segments from a first electronic document and a second electronic document. Each of the one or more segments includes a handwritten text. Thereafter, one or more sets of segments are created from the one or more segments. An information indicating categorization of each segment in a set of segments in one or more categories is received. The information is provided by one or more workers based on the handwriting in each segment. A similarity score based on a count of segments in each of the one or more categories is determined. The similarity score is deterministic of a degree of similarity between the first electronic document and the second electronic document.

Abstract: According to one embodiment, an electronic apparatus includes a line recognition module, a character recognition module and a generator. The line recognition module recognizes lines in a handwritten document. The character recognition module recognizes character codes corresponding to handwritten characters in a first line and a second line which follows the first line. The generator generates, if the first and second lines satisfy a condition, document data using first character codes corresponding to the first line and second character codes corresponding to the second line, the formed document data including either one of the first character codes at a position of the second line or including at least one of the second character codes at a position of the first line.

Abstract: According to one embodiment, an electronic apparatus includes a display processor configured to display a first locus input by handwriting with a second color equal to a color of a background in an input mode, and to display a second locus input by handwriting with the first color in an erase mode, and a storage module configured to store a first stroke data corresponding to the first locus and a second stroke data corresponding to the second locus, wherein the display processor is configured display an area in which the first locus crosses the second locus with the second color if the first locus is input later than the second locus, and to display the area with the first color if the first locus is input earlier than the second locus.

Abstract: A system and method for receiving character input from a user includes a programmed processor that receives inputs from the user and disambiguates the inputs to present character sequence choices corresponding to the input characters. In one embodiment, a first character input is received and a corresponding first recognized character is stored in a temporary storage buffer and displayed to the user for editing. After a predetermined number of subsequent input characters and/or predetermined amount of time without being edited, the system determines that the first recognized character is the intended character input by the user and removes the first recognized character from the buffer, thereby inhibiting future editing.

Abstract: According to one embodiment, an information processing apparatus includes a storage processor and a search module. The storage processor stores document data and character codes, the document data including stroke data corresponding to strokes input by a handwriting operation and the character codes corresponding to the stroke data. The search module performs at least one of a handwriting search according to strokes of a first search key and a character search according to a character code of a second search key, stroke data corresponding to the strokes of the first search key retrieved from the document data in the handwriting search and stroke data corresponding to the character code of the second search key retrieved from the character codes in the character search.

Abstract: A method for processing handwriting input includes determining a first boundary point and a second boundary point corresponding to each target track point, forming an enclosed area by connecting all first boundary points determined for all target track points, connecting all second boundary points determined for all the target track points, connecting the first boundary point corresponding to the first target track point with the second boundary point corresponding to the first target track point, and connecting the first boundary point corresponding to the last target track point with the second boundary points corresponding to the last target track point, and filling the enclosed area.

Abstract: A line depth augmentation system and method for conversion of 2D images to 3D images. Enables adding depth to regions by altering depth of lines in the regions, for example in cell animation images or regions of limited color range. Eliminates creation of wireframe or other depth models and complex modeling of regions to match the depth of lines therein. Enables rapid conversion of two-dimensional images to three-dimensional images by enabling stereographers to quickly add/alter line depth without artifacts in images for example lines in monochrome regions. Embodiments may output a stereoscopic image pair of images with lines having desired depth, or any other three-dimensional viewing enabled image, such as an anaglyph image. Although the lines may be of a different depth than the region they appear in, the human mind interprets the monochromatic region as having depth associated with the line.

Abstract: Performing word recognition operations to determine what an image of a word represents. The method includes accessing a first image. The first image represents an image version of a word. The method further includes accessing a second image. The second image also represents an image version of a word. Using a warp mesh, the method includes warping the second image to cause the second image to approximately match the first image by applying a mesh to the second image and moving vertices of the mesh to warp the second image. The difference between the warped second image and the unwarped first image are determined.

Abstract: A first technique of recognizing content is disclosed, including: determining a first value representative of a pixel content present at a first set of pixels associated with a first distance from a pixel under consideration; determining a second value representative of a pixel content present at a second set of pixels associated with a second distance from the pixel under consideration; and using the first and second values to compute one or more spatial features associated with the pixel under consideration for purposes of content recognition. A second technique of recognizing content is also disclosed, including: determining, for a pixel, a first value representative of a first feature associated with a set of pixels associated with a first direction from the pixel; and determining, for the pixel, a second value representative of a second feature associated with a set of pixels associated with a second direction from the pixel.

Abstract: According to one embodiment, a system stores a plurality of contents in a storage medium, each content includes handwritten data including stroke data corresponding to strokes which are handwritten, image data corresponding to the strokes, and retrieval information for retrieving the handwritten data. The system provides, upon receiving a retrieve request including a character string from a terminal, to the terminal either the handwritten data in the content corresponding to first retrieval information, the first retrieval information corresponding to the character string from among retrieval information of the plurality of contents, or the image data in the content corresponding to the first retrieval information.

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 handwritten character input device includes a correction amount computation unit which performs, when a characteristic value of handwritten characters input to a designated character writing area of a template image by a handwriting input operation of a user does not meet predetermined character writing requirements, a computation process that computes a correction amount of the characteristic value required to meet the character writing requirements; and a corrected handwritten character information output unit which outputs information of after-correction handwritten characters generated based on the correction amount computed by the correction amount computation unit, the characteristic value of the after-correction handwritten characters meeting the character writing requirements.

Abstract: Technologies may provide for detecting, validating, or confirming the validity of a handwritten signature. A logic architecture may be employed to detect a digital handwritten signature and validation data associated with a signature event, and to send the signature and the validation data to a trusted server. The logic architecture may validate the digital handwritten signature based on the signature and the validation data. Additionally, the logic architecture may present the digital handwritten signature with a reference to confirm the validity of the signature. The reference may be associated with identifying information corresponding to the event to confirm the validity of the signature.

Abstract: Integrating features is disclosed, including: determining a value associated with a temporal feature for a point; determining a value associated with a spatial feature associated with the temporal feature; including the value associated with a spatial feature and the value associated with the temporal feature into a feature vector; and using the feature vector to decode for a character. Determining a transform is also disclosed, including: determining, for a point associated with a sequence of points, a set of points including: the point, a first subset of points of the sequence preceding a sequence position associated with the point, and a second subset of points following the sequence position associated with the point; and determining the transform associated with the point based at least in part on the set of points.

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: Recognition of numerical characters is disclosed, including: extracting a subimage from a received image comprising information pertaining to a plurality of numerical characters, wherein the extracted subimage is associated with one of the plurality of numerical characters; and performing recognition based at least in part on a set of topological information associated with the subimage, including: processing the subimage to obtain the set of topological information associated with the subimage; comparing the set of topological information associated with the subimage with a preset set of stored topological information; determining that in the event that the set of topological information associated with the subimage matches the preset set of stored topological information, the subimage is associated with a recognized numerical character associated with the preset set of stored topological information.

Abstract: A system and method for creating a table from one or more form images is described. An Image Based Document Management (IBDM) server includes a stroke identification module, an image generator, a table generator and a preference module. The stroke identification module receives completed form data from one or more forms with handwriting fields, media fields and symbolic fields. The image generator generates field images that are a combination of handwriting fields, media fields and symbolic fields. The user preference module determines a user preference for displaying the table. The table generator generates a table from the field images based on the user preference.

Abstract: An information processing apparatus includes an information recognition unit, an acquiring unit, and a recording unit. The information recognition unit recognizes a description written in each of one or more description areas. The acquiring unit acquires attribute information of the description area in which the description is written. The recording unit records the description written in the description area or a recognition result obtained through the recognition performed by the information recognition unit in accordance with the attribute information acquired by the acquiring unit.

Abstract: A method and system for providing hand-written command processing includes a network-connected application server receiving from a user device data storing hand-written information. The hand-written information is processed to identify one or more hand-written characters included in the data. A determination is made as to whether the identified characters include a command for initiating an action across the communication network. Upon determining that the characters include a command, the application server automatically performs the action identified by the command across the communication network. The action can include generating and sending a messaging service message or an e-mail, creating a scheduled reminder, creating and storing a checklist or note, or retrieving a previously stored checklist or note, based on information included in the hand-written characters. The user device may be a tablet-type user device.

Abstract: An instruction is presented to a user for making a target gesture. The target gesture may be a portion of an exemplary or model symbol. The instruction may be presented in various ways, such as being printed on a writing surface or being played in audio format through a speaker of a smart pen device. A writing gesture made on a writing surface by the user is digitally captured using a smart pen device. The captured writing gesture is compared to the target gesture and feedback is determined based on this comparison. This feedback may indicate the correctness of the user's writing gesture. The feedback may be presented to the user through various means, including through the smart pen device. The comparison may also be used to determine a next instruction for the user to follow.

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: According to one embodiment, a retrieval method includes receiving a first stroke corresponding to a retrieval key for retrieving a handwritten stroke stored in a memory of an electronic apparatus; acquiring, if the first stroke comprises a second stroke for filling an area and a third stroke not for filling an area, first information relating to at least one stroke corresponding to the retrieval key by using the third stroke, wherein the second stroke corresponds to one part of the first stroke, and the third stroke corresponds to another part of the first stroke; and storing the first information in the memory.

Abstract: Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.

Abstract: Embodiments generally relate to providing privacy in a social network system. In some embodiments, a method includes recognizing one or more objects in at least one photo. The method also includes determining one or more objects to be obscured in the at least one photo based on one or more user preferences. The method also includes causing the at least one photo to be displayed such that the determined one or more objects are obscured.

Abstract: A computer-assisted language correction system including spelling correction functionality, misused word correction functionality, grammar correction functionality and vocabulary enhancement functionality utilizing contextual feature-sequence functionality employing an internet corpus.

Abstract: The present invention relates to an electronic device that comprises a display and a method for such an electronic device. The method includes displaying a map that illustrates a plurality of streets and establishments that are situated on the streets. The method also includes receiving a character input in a character input area of the display and a gesture input outside the character input area of the display. One or more establishments associated with the character input is displayed on the map.

Abstract: 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. In some embodiments, temporally-derived features are used to improve recognition accuracy without compromising the stroke-order and stroke-direction independence of the recognition system.

Abstract: Methods, systems, and apparatus, including computer program products, for inputting text. A handwriting area is presented on a touch-sensitive display of a device. A handwritten input is received in the handwriting area. One or more candidates are identified for the handwritten input and presented. An input selecting one of the candidates is received. The selected candidate is presented as a current input in a text input area of the touch sensitive display.

Abstract: An electronic device capable of displaying correct characters in place of garbled characters includes a storage unit, a control unit, and a display unit. The storage unit stores a number of garbled characters and identifiable characters associated with the garbled characters, and the identifiable characters are translated from original characters corresponding to the garbled characters. The control unit obtains any garbled character displayed on the display unit, determines whether the obtained garbled character matches a garbled character stored in the storage unit, if so, then the control unit controls the display unit to display an identifiable character in place of the garbled character.

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: According to an embodiment, an apparatus includes an acquirer, a divider, an extractor, a calculator, and a retriever. The acquirer is configured to acquire a plurality of first point sequences. The divider is configured to divide each of the plurality of first point sequences into a plurality of second point sequences. The extractor is configured to extract a feature vector of each of the plurality of second point sequences. The calculator is configured to calculate a distance between the plurality of first point sequences based on an optimal path among the plurality of second point sequences that belong to each of the plurality of first point sequences. The retriever is configured to retrieve data corresponding to the plurality of first point sequences using the distance.

Abstract: Legibility of text in an electronic document is analyzed. The analysis involves no more than the following three parameters: tracking between letters in the text; leading between lines of the text; and visual luminance contrast between the letters and text background.

Abstract: Gesture recognition is performed by receiving a video frame from a camera, drawing a scribble pointing out one element within the video frame, tracking the scribble across subsequent frames by propagating the scribble on the remainder of the video, aggregating related scribbles determined by tracking the scribble, attaching a tag to the aggregated related scribbles to form a gesture model, and comparing a current scribble with the stored gesture model.

Abstract: A reading machine that operates in various modes includes image correction processing is described. The reading device pre-processes an image for optical character recognition by receiving the image and determining whether text in the image is too large or small for optical character recognition processing by determining that text height falls outside of a range in which optical character recognition software will recognize text in a digitized image. If necessary the image is resized according to whether the text is too large or too small.

Abstract: An automated method for classifying a video frame into different genre based on the statistical analysis of different text rich video frames. The method of the present invention applies a statistical method to classify the genre based on the text in the video frame.

Abstract: An apparatus includes a processor and a memory. The memory is configured to store computer-readable instructions. The computer-readable instructions cause the processor to perform processes that include acquiring detected stroke data indicating a trajectory of a writing portion, determining with reference to a first storage portion, based on the detected stroke data, whether a reference trajectory is included in one of one or more peripheral areas, and each of the one or more peripheral areas being an area surrounding each of one or more reference positions, and correcting the detected stroke data, based on an amount of displacement between the reference trajectory and a reference position that is inside one of the one or more peripheral areas, in a case where it is determined that the reference trajectory is included in the one of the one or more peripheral areas.

Abstract: Systems and techniques are described to perform operations including displaying a first character in a user interface in response to a first user input, the first character encoded by a first ordered sequence comprising at least one code point, receiving a second user input, determining if the second user input defines an exception input to the first ordered sequence, in response to determining that the second user input defines an exception input to the first ordered sequence, generating a second ordered sequence comprising at least one code point, the second ordered sequence based on the first ordered sequence and the exception input, wherein the second ordered sequence does not include the first ordered sequence in a predicate sequence, and displaying a second character defined by the second ordered sequence in place of the first character in the user interface.

Abstract: A technique that uses repetitive and reliably recognizable parts of handwriting, during digital handwriting data entry, to trigger recognition of digital ink and to repurpose handwriting task area properties. In one example embodiment, this is achieved by drawing one or more delayed strokes of a desired sub-word unit using a stylus on a touch screen. An associated data of the drawn one or more strokes is inputted via the touch screen into a handwriting recognition engine. A first trigger stroke in the drawn one or more strokes that can be used to trigger the sub-word unit recognition by the handwriting recognition engine is then determined. The sub-word unit recognition is then triggered for the drawn one or more strokes based on the determined first trigger stroke by the handwriting recognition engine.

Abstract: A method for inputting characters pairs in an electronic device having a user input device, a display for displaying characters input through the user input device, and a memory for storing characters input through the user input device, including storing a character input through the user input device in the memory and displaying the input character on the display; and determining if the input character is an opening character of a predefined character pair, and if so, automatically and without further user input, causing a corresponding closing character of the predefined character pair to be inserted in the memory and on the display, and locating an input pointer so that subsequently input characters will be inserted between the opening and closing characters in the memory and on the display.

Abstract: A server system receives a visual query from a client system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system also produces structural information associated with the textual characters in the visual query. Textual characters in the plurality of textual characters are scored. The method further includes identifying, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. A canonical document that includes the one or more high quality textual strings and that is consistent with the structural information is retrieved. At least a portion of the canonical document is sent to the client system.

Abstract: The present embodiments disclose a method of and device for identifying the direction of characters in an image block. The method includes: performing optical character recognition processing on the image block by assuming various directions as assumed character directions to obtain sub image blocks, recognized characters corresponding to the sub image blocks and correctness measures thereof in each assumed character directions; in sub image blocks in the assumed character directions with 180° mutual relation, searching for a minimum matching pair of the sub image blocks; adjusting the sub image blocks in the searched minimum matching pair to eliminate the effect, on an identification result, of different numbers of sub image blocks in various assumed character directions; calculating an accumulative correctness measure in each assumed character directions based on the adjusted sub image blocks; and identifying the direction of characters in the image block according to the accumulative correctness measures.

Abstract: A server system receives a visual query from a client system distinct from the server system. The server system performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system scores each textual character in the plurality of textual characters in accordance with the geographic location of the client system. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. Then the server system retrieves a canonical document having the one or more high quality textual strings and sends at least a portion of the canonical document to the client system.

Abstract: A printer, scanner device and methods for using same are described herein. A printer device may include a dedicated input that, when actuated, generates and sends a request to a computer for known data or a predetermined print job, e.g., schedule information from a personal information management (PIM) application. A scanner device may include another dedicated input that, when actuated, automatically scans a document fed to the device by the user and sends the scanned image to IM (or other) software on a computer, bypassing the need to manipulate the scanned image using scanner software. The device may be used with printed metapaper, which includes a barcode or other indicia identifying the metapaper and corresponds to a stored template image of the metapaper. When the metapaper is rescanned, the scan can be compared to the stored template information to identify changes and synchronize the changes with the IM software.

Abstract: An apparatus and method of generating personal fonts is provided, which can modify a trace of handwriting inputted by a user into an elegant one and generate diverse personal fonts in accordance with user's style of handwriting. The apparatus for generating personal fonts includes a character input unit to receive an input of a character trace from a user, a character recognition unit to recognize a representative character corresponding to an input character from the input character trace, a representative trace generation unit to generate a representative trace expressing a trace of the representative character, and a trace modification unit to modify the trace of the input character by combining a weight value of the generated representative trace with the trace of the input character.

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: Recognition of numerical characters is disclosed, including: extracting a subimage from a received image comprising information pertaining to a plurality of numerical characters, wherein the extracted subimage is associated with one of the plurality of numerical characters; and performing recognition based at least in part on a set of topological information associated with the subimage, including: processing the subimage to obtain the set of topological information associated with the subimage; comparing the set of topological information associated with the subimage with a preset set of stored topological information; determining that in the event that the set of topological information associated with the subimage matches the preset set of stored topological information, the subimage is associated with a recognized numerical character associated with the preset set of stored topological information.

Abstract: A handwritten-information processing apparatus includes a handwritten-information acquisition unit and a handwritten-information insertion unit. The handwritten-information acquisition unit acquires a handwritten information item which has been handwritten by a user on a medium having a region inside a writing frame and a region outside the writing frame. The region inside the writing frame includes division regions. The region outside the writing frame is located outside the region inside the writing frame. When the handwritten-information acquisition unit has acquired an insertion mark which is a handwritten information item extending across a boundary between the region inside the writing frame and the region outside the writing frame, the handwritten-information insertion unit inserts, on the basis of the insertion mark, into the region inside the writing frame, a handwritten information item which has been handwritten in the region outside the writing frame.

Abstract: The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English.

Abstract: An information processing apparatus includes a morphological analysis unit, a feature-value vector generation unit, and a degree-of-certainty calculation unit. The morphological analysis unit performs morphological analysis on a character recognition result. The feature-value vector generation unit generates a feature-value vector having elements, the number of which is P+1, for each character in the character recognition result. The feature-value vector includes part-of-speech likelihoods and a character similarity for the character in the character recognition result. The part-of-speech likelihoods correspond to P types of part of speech and are generated based on a probability of a part of speech of a word which includes the character and which is the result of the morphological analysis performed by the morphological analysis unit.

Abstract: A system and method may include a processor that groups the glyphs of a document into font character models. OCR processing may be performed to identify the ASCII value of the font character models, with the results mapped to the glyphs contained with those models, thereby identifying the text of the original document. This results in fewer calls to an OCR engine, thereby providing a significant speedup. Further, when a model is assigned differing text values by the OCR engine, the system and method may identify the value most likely to be correct, thereby improving the accuracy of the output text.