An OCR system acquires the position of an image code in a document image, acquires data indicated by the image code, and acquires the position of a handwriting input field in the document image on the basis of the position of the image code in the acquired document image, the position of the image code in the document included in the acquired data, and the position of the handwriting input field in the document included in the acquired data.

An OCR system acquires the position of an image code in a document image, acquires data indicated by the image code, and acquires the position of a handwriting input field in the document image on the basis of the position of the image code in the acquired document image, the position of the image code in the document included in the acquired data, and the position of the handwriting input field in the document included in the acquired data.

This invention allows for the direct streaming of digital content from an image carrying an embedded unique identification that can be visible, partially visible or concealed, capable of being extracted using AI Imaging recognition and OCR technologies, inclusive those capable of reading concealed information using magnet ink or invisible ink.

This invention allows for the direct streaming of digital content from an image carrying an embedded unique identification that can be visible, partially visible or concealed, capable of being extracted using AI Imaging recognition and OCR technologies, inclusive those capable of reading concealed information using magnet ink or invisible ink.

A computer-implemented method, comprising receiving, by a computer system, binary image data, the computer system configured to detect a pixel value in the binary image data to represent a non-machine language value related to the binary image data; determining, by the computer system, that the binary image data further comprises at least a pixel value that is altered in a manner to change the non-machine language value related to the binary image data when read by an image recognition system; and alerting, by the computer system, to the image recognition system to review the binary image data.

Methods, apparatus, systems and articles of manufacture are disclosed for receipt decoding. An example apparatus for processing a receipt associated with a user disclosed herein includes an optical character recognition engine to generate bounding boxes, respective ones of the bounding boxes associated with groups of characters detected in the receipt, the bounding boxes including a first bounding box, a second bounding box and a third bounding box, a word connector to connect the first bounding box to the second bounding box based on (1) an adjacency of the first bounding box to the second bounding box and (2) a difference value from a comparison of a location of the first bounding box to a location of the second bounding box, a line connector to form a line of the ones of the bounding boxes by connecting the third bounding box to the second bounding based on a relationship between the first bounding box and the second bounding box, the line of the ones of the bounding boxes indicative of related receipt fields, and a creditor to generate a report based on the line.

A computer-implemented method, comprising receiving, by a computer system, binary image data, the computer system configured to detect a pixel value in the binary image data to represent a non-machine language value related to the binary image data; determining, by the computer system, that the binary image data further comprises at least a pixel value that is altered in a manner to change the non-machine language value related to the binary image data when read by an image recognition system; and alerting, by the computer system, to the image recognition system to review the binary image data.

A computer-implemented method, comprising receiving, by a computer system, binary image data, the computer system configured to detect a pixel value in the binary image data to represent a non-machine language value related to the binary image data; determining, by the computer system, that the binary image data further comprises at least a pixel value that is altered in a manner to change the non-machine language value related to the binary image data when read by an image recognition system; and alerting, by the computer system, to the image recognition system to review the binary image data.

An image processing apparatus counts at least one of the number of pixels having an identical color to a target pixel, the number of pixels having a similar color to the target pixel, and the number of pixels having a different color from the target pixel in a target window, and determines an attribute of the target pixel based on a result of the counting.

Provided is an information processing apparatus capable of improving detection accuracy of a position pointed by a target object. An acquisition unit acquires a distance image indicating a distance to each object present within a predetermined range. Subsequently, a vector calculation unit calculates a vector extending from the target object present within the predetermined range in a direction pointed by the target object on the basis of the acquired distance image. Subsequently, an intersection calculation unit calculates a position of an intersection of a predetermined surface present within the predetermined range and the calculated vector on the basis of the acquired distance image. Subsequently, a processing execution unit executes processing corresponding to the calculated position of the intersection.