Abstract: Methods and systems for a transportation vehicle are provided. For example, one method includes initializing a transaction mode for using a transaction card having a front portion and a rear portion from a seat device of a transportation vehicle; adjusting lighting from the seat device to capture an image of the transaction card; capturing the image of the transaction card using a camera of the seat device; and processing the image of the transaction card and extracting information from the image of the transaction card.

Abstract: A device comprising a printer configured to apply a code of printed content on a substrate of a product based on a printer technology type, the code having a plurality of digits. The device includes an optical code detector, executed by one or more processors, to detect the code in a received image of the product printed by the printer by optically recognizing characters in the received image using a trained optical character recognition (OCR) algorithm for the printer technology type. The OCR algorithm is trained to identify each digit of the plurality of digits of the code in a region of interest (ROI) based on at least one product parameter to which the printed content is directly applied and the printer technology type. A system and method are also provided.

Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Abstract: An automatic classifying system in a dining environment includes a picture uploading component implemented in an electronic device for transmitting a set of pictures via the Internet, and a server for directly or indirectly receiving the set of pictures. The server has a picture analysis component for classifying one of the pictures according to at least two classifications and generating an analysis result to a web-platform system so as to display the picture and the analysis result.

Abstract: The invention provides a method for CSI-based fine-grained gesture recognition, wherein the method comprises the following steps: determining a start point, an end point, a velocity, a direction and/or an inflection point of at least one stroke gesture in multiple dimensions according to an eigenvalue of channel state information; dividing the strokes according to the start point, the end point, the velocity, the direction and/or the inflection point of the stroke using a machine learning method and forming a stroke sequence; building a stroke decipherment model according to frequencies of the strokes appearing in natural language rules and/or scientific language rules and/or connection rules between the strokes; and dividing and recognizing the stroke sequence as a letter sequence, a radical sequence, a numeral sequence and/or a pattern sequence conforming to the natural language rules and/or the scientific language rules using the stroke decipherment model.

Abstract: A text image processing method and a text image processing apparatus are provided. In some embodiments, a text image processing method includes: preprocessing a text image to obtain a binary image, where the binary image includes multiple connected regions; acquiring a convex hull corresponding to each of the connected regions with a convex hull algorithm; acquiring a character region circumscribing the convex hull; performing character segmentation on the acquired character region to obtain multiple character blocks; and merging the character blocks based on heights of the character blocks to obtain word blocks of the text image.

Abstract: A computer-implemented method comprises: extracting a setting from a description file of a virtual pan-tilt-zoom (PTZ) camera used to capture an original image through a wide-angle lens; determining a first set of coordinates of a pixel of the original image for each cell of a sparse conversion map represented as a first look-up table, wherein the sparse conversion map corresponds to a sparse grid of pixels of an output image; determining, via interpolating the first set of coordinates, a second set of coordinates of a pixel of the original image for each cell of a full conversion map, wherein the second set of coordinates is represented as a second look-up table, wherein the full conversion map corresponds to a full grid of pixels of the output image; instructing a display to present the output image, wherein the original image is less rectilinear than the output image.

Abstract: Systems and methods for performing OCR of a series of images depicting text symbols.

Abstract: Aspects described herein may allow for the application of generating captcha images using relations among objects. The objects in ground-truth images may be clustered based on the probabilities of co-occurrence. Further aspects described herein may provide for generating a first captcha image comprising a first object and a second object, and generating a second captcha image based on the first captcha image by replacing the first object with the third object. Finally, the first and second captcha images may be presented as security challenges and user access requests may be granted or denied based on responses to the security challenges.

Abstract: A user device detects, in a field of view of the camera, a first side of a document, and determines first information associated with the first side of the document. The user device selects a first image resolution based on the first information and captures, by the camera, a first image of the first side of the document according to the first image resolution. The user device detects, in the field of view of the camera, a second side of the document, and determines second information associated with the second side of the document. The user device selects a second image resolution based on the second information, and captures, by the camera, a second image of the second side of the document according to the second image resolution. The user device performs an action related to the first image and the second image.

Abstract: Techniques for determining reading order in a document. A current labeled text run (R1), RIGHT text run (R1) and DOWN text run (R3) are generated. The R1 labeled text run is processed by a first LSTM, the R2 labeled text run is processed by a second LSTM, and the R3 labeled text run is processed by a third LSTM, wherein each of the LSTMs generates a respective internal representation (R1?, R2? and R3?). Deep learning tools other than LSTMs can be used, as will be appreciated. The respective internal representations R1?, R2? and R3? are concatenated or otherwise combined into a vector or tensor representation and provided to a classifier network that generates a predicted label for a next text run as RIGHT, DOWN or EOS in the reading order of the document.

Abstract: In an image processing apparatus, a controller is configured to perform: acquiring target image data representing a target image including a plurality of pixels; determining a plurality of first candidate character pixels from among the plurality of pixels, determination of the plurality of first candidate character pixels being made for each of the plurality of pixels; setting a plurality of object regions in the target image; determining a plurality of second candidate character pixels from among the plurality of pixels, determination of the plurality of second candidate character pixels being made for each of the plurality of object regions according to a first determination condition; and identifying a character pixel from among the plurality of pixels, the character pixel being included in both the plurality of first candidate character pixels and the plurality of second candidate character pixels.

Abstract: A method for detecting an information card in an image is provided. The method includes performing a line detection to obtain two endpoints of a line segment corresponding to each of four sides of the information card; generating, a linear equation of the side; obtaining coordinates of four intersection points of the four sides of the information card; mapping the coordinates of the four intersection points to four corners of a rectangular box of the information card, to obtain a perspective transformation matrix; performing perspective transformation on image content encircled by four straight lines represented by the four linear equations to provide transformed image content; forming a gradient template according to a layout of information content on the information card; and using the gradient template to match with the transformed image content and determining whether the image content is a correct information card.

Abstract: The invention relates to a method and apparatus for measuring inflorescence, seed and/or seed yield phenotype of a plant. More particularly, the invention relates to a method and apparatus for high throughput analysis of inflorescence, seed and/or seed yield phenotype of a panicle-like bearing plant.

Abstract: Techniques for providing remote messages to mobile devices based on image data and other sensor data are discussed herein. Some embodiments may include one or more servers configured to: receive, from a consumer device via a network, location data indicating a consumer device location of a consumer device; receive, from the consumer device via the network, image data captured by a camera of the consumer device; receive, from the consumer device via the network, orientation data defining an orientation of the camera when the image data was captured, wherein the orientation data is captured by an accelerometer of the consumer device; attempt to extract a merchant identifier from the image based on programmatically processing the image data; determine one or more merchants based on a fuzzy search of available ones of the location data, the merchant identifier, and the orientation data.

Abstract: A method of graphically representing mathematical expressions in both audio and visual formats on a user device is described. Embodiments of the present invention include an Internet-enabled audio-visual graphing calculator that receives input from a user device in at least one of at least one of audio, visual, or Braille formats. An embodiment of the present invention interprets input received from the user device as a typeset mathematical expression, parses the typeset mathematical expression into an interpreted mathematical expression and compiles the interpreted mathematical expression into an evaluation function. At least one point is sampled on the evaluation function. The sampled evaluation function is rendered as a graph on a visual display of a user device. In an embodiment of the invention, an audible representation of the rendered graph is generated for playback on the user device.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The method further includes providing a first identification of the significant differences and a second identification of the insignificant differences.

Abstract: The invention discloses a translation system and a method, and belongs to the translation field. Said system consists of the following steps that: a user client sends a translation request to a server; the server determines candidate translator clients corresponding to the translation request after receiving the translation request; the server sends a translation order corresponding to the translation request to the candidate translator clients; the translator clients selectively send scramble commands to the server after receiving the translation order; the server determines a target translator client among the translator clients who have sent the scramble commands after receiving the scramble commands, and sends the translation request to the target translator client. The invention helps reach the effects of being capable of acquiring translation services from translator clients, improving the translation accuracy, and meeting the needs of most people.

Abstract: Systems of the present disclosure generate accurate training data for optical character recognition (OCR). Systems disclosed herein generates images of a text passage as displayed piecemeal in a user interface (UI) element rendered in a selected font type and size, determine accurate dimensions and locations of bounding boxes for each character pictured in the images, stitch together a training image by concatenating the images, and associate the training image, the bounding box dimensions and locations, and the text passage together in a collection of training data. The collection of training data also includes a computer-readable master copy of the text passage with newline characters inserted therein.

Abstract: A system for document searching can include a camera. The system may further include an image capturing module configured to capture a first image of a first portion of a document, a feature recognition module in communication with the image capturing module, the feature recognition module configured to determine a first feature associated with the first image, a search module configured to send search information to a server and receive a first result from a first search of a set of documents that was performed based on one or more search criteria determined based on the first feature associated with the first image, and a search interface configured to present the first result on the device.

Abstract: Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Abstract: A method and system of identifying a plurality of strings in an image are described. A set of ranks and an image are received. Optical character recognition is performed on the image to identify candidate strings. The candidate strings are ordered according to their location in the image with respect to a reading direction. Minimum assignation costs between the plurality of candidate strings and the set of ranks are determined. Each of the minimum assignation costs is representative of a cost of one or more edit operations performed on the plurality of candidate strings to obtain a subset of candidate strings ordered according to the set of ranks. A subset of candidate strings that is associated with the lowest minimum assignation cost when compared with other minimum assignation costs of other subsets of candidate strings from the plurality of candidate strings is selected and outputting.

Abstract: The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Abstract: A commodity recognition apparatus comprises an image interface, a memory and a processor. The image interface is configured to acquire a commodity image captured by a camera. The memory is configured to store a candidate of a commodity recognized from the commodity image acquired by the image interface. The processor is configured to try to read a commodity recognition code from the commodity image acquired by the image interface and reset the candidate of the commodity stored in the memory if the commodity recognition code is read.

Abstract: For generating candidate logograms, code recognizes one or more strokes of the logogram input. The code further generates one or more candidate logograms with strokes matching the logogram input strokes.

Abstract: Systems and methods are described herein to generate visualizations associated with color palettes identified from keyword searches. Color palettes may include colors determined by human color preferences. Color palettes may be searched by name or other data associated with the color palettes based at least in part on text or audio data. Visualizations such as mood lighting and/or atmosphere colors may be based at least in part on the searched color palettes.

Abstract: A clustering method for applying to a plurality of classes each including one or more images as objects, includes: performing an iterative merge on the classes according to inter-class Rank-Order distances; obtaining an intra-class convergence degree of each class obtained by the iterative merge, based on inter-object distances in the class; and grouping, for each class obtained by the iterative merge, objects in the class that have a distance smaller than the intra-class convergence degree of the class into a new class, thereby to perform an update on the classes.

Abstract: Methods and systems recognize alphanumeric characters in an image by computing individual representations of every character of an alphabet at every character position within a certain word transcription length. These methods and systems embed the individual representations of each alphabet character in a common vectorial subspace (using a matrix) and embed a received image of an alphanumeric word into the common vectorial subspace (using the matrix). Such methods and systems compute the utility value of the embedded alphabet characters at every one of the character positions with respect to the embedded alphanumeric character image; and compute the best transcription alphabet character of every one of the image characters based on the utility value of each embedded alphabet character at each character position. Such methods and systems then assign the best transcription alphabet character for each of the character positions to produce a recognized alphanumeric word within the received image.

Abstract: Facilitating text identification and editing in images in which in one or more embodiments, a user selection of a location in an area of text in an image is received. Given the location, a region of interest that includes text (including the location of the user selection) in the image is determined. Distortion resulting from a surface in the image on which the text is situated being at some angle other than parallel to the image capture plane is also corrected. One or more fonts and font sizes of the text in the region of interest are also detected. Various actions can be taken on the text in the region of interest (e.g., editing the text and/or identifying the text).

Abstract: Techniques for managing applications associated with a mobile device are provided. The techniques disclosed herein include techniques for obtaining an image of an object in the view of a camera associated with a mobile device, identifying the object in the image based on attributes of the object extracted from the image, and determining whether one or more applications are associated with the object. If there are one or more applications associated with the real-world object, an application associated with the object can be automatically launched on the mobile device. The association between a real-world object and an application may be identified by a visual indicator, such as an icon, symbol, or other markings on the object that indicates that the object is associated with one or more applications.

Abstract: The disclosure includes a system and method for performing image rectification using a single image and information identified from the single image. An image recognition application receives an input image, identifies a plurality of objects in the input image, estimates rectification parameters for the plurality of objects, identifies a plurality of candidate rectification parameters using a voting procedure on the rectification parameters for the plurality of objects, estimates final rectification parameters based on the plurality of candidate rectification parameters, computes a global transformation matrix using the final rectification parameters, and performs image rectification on the input image using the global transformation matrix.

Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.

Abstract: A computer-implemented method executed on an electronic device, the electronic device having a display screen, the method comprising: displaying an image on the display screen; receiving a user selection of a first portion of the image; responsive to the user selection of the first portion of the image, the first portion of the image containing a selected text portion, performing text recognition of the selected text portion and of an unselected text portion, the unselected text portion located in a second portion of the image being distinct from the first portion of the image, to render a recognized text element.

Abstract: In accordance with an embodiment, a character recognition apparatus comprises a decolorization control section configured to carry out a decolorization processing for a sheet; an image reading control section configured to carry out an image reading processing for the sheet to which the decolorization processing is carried out; and a character recognition processing section configured to carry out a character recognition processing for a decolorized image read through the reading processing after the decolorization processing is carried out or for a generated image generated according to the decolorized image.

Abstract: A processor-implemented method and system for detecting objects in a media file using a block based histogram of oriented gradients methodology is described. At least one image representing at least one frame of a video sequence comprising one or more objects of at least one desired object type is received. A region of interest contained in a block of frame is considered. An array containing magnitude and angle values is calculated, normalized for each pixel in the block in the internal memory. The normalized array is aggregated, ported and stored in an external memory. A value or block of values of the aggregated array in the external memory along with the specific feature vector is transferred to the internal memory. Based on a comparison of each value in the aggregated array and the specific feature vector, a desired object type is detected.

Abstract: In an image processing apparatus, a character recognizing unit identifies a character image in a document image. A font matching unit determines a character code and a font type corresponding to the identified character image. A fore-and-background setting unit sets the document image as a background image and sets a standard character image based on the determined character code and the determined font type. A background image correcting unit (a) deletes a deletion area in the background image, the deletion area taking a same position as the character image or the standard character image, (b) interpolates a differential area between the character image and the standard character image in a specific neighborhood area that contacts with the deletion area on the basis of the background image, and (c) interpolates the deletion area on the basis of the back ground image.

Abstract: Described herein are techniques for acquiring an image of a user's credential document through a user device. A method includes capturing information from a user interface regarding a particular type of credential document to be imaged, receiving a video stream of the user's credential document from a camera of the user device, displaying the video stream on a display of the user device, and determining whether a set of criteria for capturing the image of the user's credential document are satisfied. If the criteria are not satisfied, the method presents a first indication on the user device that the user's credential document is not ready to be imaged. If the criteria are satisfied, the method presents a second indication on the user device that the user's credential document is ready to be imaged and captures an image of the user's credential document.

Abstract: An image processing device includes a detector, a recognition unit, an acquisition, unit, and an output unit. The detector detects an image formed on a sheet, and a mark applied to the sheet. The recognition unit recognizes a mark position, which is a position where the mark is formed on the image. The acquisition unit acquires an additional image to be added and formed at the mark position. The output unit forms an output image using the image detected by the detector and the additional image acquired by the acquisition unit.

Abstract: Embodiments of the present invention provide concepts for correcting optical character recognition (OCR) errors from and OCR scan result by sequentially applying an anagram hash (AH) and Levenshtein-Distance (LD) measurement for concurrent character identity-based (machine code) and character shape-based (OCR-Key) corrections. The OCR-Key classifies characters by shape into one or more disjoint and overlapping classes. Similar shaped-based classes appearing in consecutive characters are appended to a cardinality term, a repetition count of the class. The LD measurement groups OCR-Keys and differentiates on both class and cardinality to arrive at a shape-based mismatch error between competing candidate words from an associated dictionary and a target word from the OCR scan.

Abstract: An system comprises: a first storage that stores access destination information, characteristic information, and first identification information in a manner associated with one another; a transmitter that transmits a captured image of a medium; a first-acquiring-unit that extracts the characteristic information and acquires the access destination information and the first identification information associated with the characteristic information, access based on the access destination information being controlled by an authentication device comprising a second storage that stores second identification information allocated to each medium, third identification information corresponding to the first identification information, and collation information indicating an access source in a manner associated with one another; a second-acquiring-unit that acquires fourth identification information allocated to each medium from the captured image; and an access unit that transmits the first identification information,

Abstract: A data processing system and computer program product for sharing displayed content. A content displayed on a source computer system is shared with a set of target computer systems, wherein the content is displayed on a target display on each target computer system in the set of target computer systems. In response to a change in the content displayed on the source computer system, a progress in displaying the change in the content on the target display on the each target computer system in the set of target computer systems is identified. An indication of the progress in displaying the change in the content on the target display on the each target computer system in the set of target computer systems is generated at the source computer system.

Abstract: A smartphone is adapted for use as an imaging spectrometer, by synchronized pulsing of different LED light sources as different image frames are captured by the phone's CMOS image sensor. A particular implementation employs the CIE color matching functions, and/or their orthogonally transformed functions, to enable direct chromaticity capture. A great variety of other features and arrangements are also detailed.

Abstract: A conversion apparatus is disclosed, including: a storage unit; and a processor configured to perform a conversion process. In the conversion process, a handwriting input for a specific position in a text is received. Conversion candidates for the handwriting input is generated based on context information acquired by analyzing before, after, or around the specific position of the text.

Abstract: The present disclosure discloses an input method and an input apparatus. The input apparatus is able to communicate with an electronic apparatus. The electronic apparatus includes a touch control display unit. The method includes a recognizing device in the input apparatus recognizing to obtain a first shape under press of a contact pressure of the input end based on a light-reflective encode coating when the deformable input end of the input apparatus contacts with the touch control display unit; the recognizing device obtaining a deformation parameter of the input end based on the first shape; and a transmitting device in the input apparatus transmitting the deformation parameter to the electronic apparatus to be processed by the electronic apparatus.

Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.

Abstract: Methods for providing drawing assistance to a user sketching an image include geometrically correcting adjusting user strokes to improve their placement and appearance. In particular, one or more guidance maps indicate where the user “should” draw lines. As a user draws a stroke, the stroke is geometrically corrected by moving the stroke toward a portion of the guidance maps corresponding to the feature of the image the user is intending to draw based feature labels. To further improve the user drawn lines, parametric adjustments are optionally made to the geometrically-corrected stroke to emphasize “correctly” drawn lines and de-emphasize “incorrectly” drawn lines.

Abstract: Computer program products include program code readable/executable by one or more processors, and configured to cause the processor(s) to: receive an image of a part or all of a document selected from a group consisting of: a gift card, an invoice, a bill, a receipt, a sales order, an insurance claim, a medical insurance document, and a benefits document; perform optical character recognition (OCR) on the image; extract at least a partial address of a sender of the document; compare the at least partial address of the sender to a plurality of addresses in a first database; and identify one or more of: textual information specific to the sender; and data formatting specific to the sender. The code configured to cause the processor to receive the image, perform the OCR, extract and compare the (at least partial) address, and identify sender-specific information is preferably a processor of a mobile device.

Abstract: An apparatus management system includes a first apparatus; a second apparatus having an apparatus type different from the first apparatus; and an apparatus management configuration connected via a network with the first apparatus and the second apparatus, and managing the apparatuses. The apparatus management configuration includes a reception part that receives apparatus information that includes apparatus type identifiers for identifying the apparatus types of the first apparatus and the second apparatus; and a control part that carries out control to generate management information according to the apparatus types, based on the apparatus type identifiers.

Abstract: An information processing apparatus includes a sample extracting unit, a trail information memory, a trail acquisition instructing unit, a trail accepting unit, and a trail determining unit. The sample extracting unit extracts samples from a population. The trail information memory stores information about trails. The trail acquisition instructing unit provides an instruction to acquire a trail for a sample extracted by the sample extracting unit. The trail accepting unit accepts trails. The trail determining unit determines, every time the trail accepting unit accepts a trail, whether the accepted trail is valid or invalid in accordance with the information stored in the trail information memory. If the trail determining unit determines that the accepted trail is invalid, the trail acquisition instructing unit provides again an instruction to acquire a trail.