Systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.

In some implementations, an extended reality (XR) device may detect, using a scene captured by the XR device, text associated with a document, wherein the text associated with the document is within a field of view of the XR device. The XR device may determine one or more keywords of the text and a context associated with the text. The XR device may generate, using a language model, predicted text based on the one or more keywords of the text and the context associated with the text, wherein the predicted text is related to the text associated with the document. The XR device may provide, via an interface of the XR device, the predicted text as a visual overlay to the text associated with the document, wherein the predicted text is visually overlayed in proximity to the text associated with the document.

A method, computer system, and a computer program product for automatic equation transformation from text is provided. The present invention may include receiving a text document. The present invention may then include identifying a mathematical formula expressed in the received text document. The present invention may then include removing a plurality of superfluous language from the received text document based on the identified mathematical formula. The present invention may also include transforming the identified mathematical formula into a symbolic representation based on a trained model. The present invention may finally include outputting the symbolic representation.

An OCR system which acquires character data from a form (50) through OCR processing is characterized by: managing an OCR information table (34e) in which an issuer name of an issuer on the form (50) is associated with a font name of a font used in the OCR processing; and, when the OCR processing is performed on an issuer-recorded content reading target area in the form (50), performing the OCR processing (S156) in the font indicated by the font name associated in the OCR information table with the issuer name of the issuer of the form (50).

Systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.

A character recognition device includes a recognizer that recognizes at least one character string from an image including a trailer captured by an imaging device, an attribute determinator that determines an attribute of the character string recognized by the recognition unit, and a trailer ID estimator that estimate whether the character string is a trailer ID based on the attribute of the character string determined by the attribute determinator.

Embodiments are disclosed for providing customizable, visually aesthetic color diverse template recommendations derived from a source image. A method may include receiving a source image and determining a source image background by separating a foreground of the source image from a background of the source image. The method separates a foreground from the background by identifying portions of the image that belong to the background and stripping out the rest of the image. The method includes identifying a text region of the source image using a machine learning model and identifying font type using the identified text region. The method includes generating an editable template image using the source image background, the text region, and the font type.

An information processing system includes circuitry configured to store, in a memory, one or more feature value patterns associated with appearance attribute of one or more groups of persons calculated from a plurality of acquired image data using machine learning, in which each one of the groups assumed to have a unique group value being different for each one of the groups, receive image data of a target person input as analysis target data, analyze an appearance attribute of the target person in the image data using the one or more feature value patterns associated with the appearance attribute of the one or more groups stored in the memory, and output a response corresponding to an analysis result of the appearance attribute of the target person.

A system learns the structure of a form. The structure of the form can be learned from a single image (e.g., a photograph that includes the form) without user annotation. The form includes typewritten and handwritten text entries. The system groups text entries in the form based on lines detected in the form. The system then measures a distance and an angle between two text entry locations in the group of text entries. The group of text entries, the distances, and the angles can be captured in a bipartite graph. The bipartite graph represents possible pairing solutions where a typewritten text entry is paired with a handwritten text entry. The system identifies an optimal pairing solution, from the possible pairing solutions, using the distances and angles. The optimal pairing solution is identified by minimizing the standard deviation of the distances and/or by minimizing the circular standard deviation of the angles.

Systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.