An information processing apparatus (10) registers a set of item names corresponding to an item name field associated with an item value field in a predetermined business form and identifies an association of an item name field with an item value field included in the business form to be processed based on the registered set of item names.

The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires an image of a fill-in form including a plurality of first fill-in fields where a numerical value is filled in, and a second fill-in field where a sum total of the numerical values filled in a plurality of the first fill-in fields is filled in, an analysis unit (12) that analyzes the image, and recognizes the value filled in a plurality of the first fill-in fields and the value filled in the second fill-in field, a determination unit (13) that determines whether a sum total of recognition results of the value filled in a plurality of the first fill-in fields and a recognition result of the value filled in the second fill-in field match each other, and a processing unit (14) that executes error processing when a sum total of the recognition results of the value filled in a plurality of the first fill-in fields and the recognition result of the value filled in the second fill-in field do not match each other.

The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires an image of a fill-in form including a plurality of first fill-in fields where a numerical value is filled in, and a second fill-in field where a sum total of the numerical values filled in a plurality of the first fill-in fields is filled in, an analysis unit (12) that analyzes the image, and recognizes the value filled in a plurality of the first fill-in fields and the value filled in the second fill-in field, a determination unit (13) that determines whether a sum total of recognition results of the value filled in a plurality of the first fill-in fields and a recognition result of the value filled in the second fill-in field match each other, and a processing unit (14) that executes error processing when a sum total of the recognition results of the value filled in a plurality of the first fill-in fields and the recognition result of the value filled in the second fill-in field do not match each other.

A distributed learning method of a server managing an ID card recognition model includes releasing an ID card recognition model performing at least one convolution operation on an ID card image captured in a user terminal so that the user terminal uses the ID card recognition model, receiving update information of the ID card recognition model generated according to an ID card recognition result of the released ID card recognition model, and verifying the update information received from the user terminal and updating the ID card recognition model using the verified update information.

A distributed learning method of a server managing an ID card recognition model includes releasing an ID card recognition model performing at least one convolution operation on an ID card image captured in a user terminal so that the user terminal uses the ID card recognition model, receiving update information of the ID card recognition model generated according to an ID card recognition result of the released ID card recognition model, and verifying the update information received from the user terminal and updating the ID card recognition model using the verified update information.

An information processing device includes: a processor configured to: acquire an invoice to be processed; acquire a document related to the invoice; and perform a process of outputting a suggestion as to a predetermined matter that is to be executed next in accordance with an inconsistency between a content described in the invoice and a content described in the document.

An information processing apparatus includes a processor configured to: obtain plural first document images; execute classification processing for classifying each of the plural first document images, based on reliability of each of plural second document images in relation to each of the plural first document images, each of the plural second document images being preset in accordance with a classification type; and perform display control to display a first group of the plural first document images and a second group of the plural second document images on an identical screen and also to display results of the classification processing on the identical screen.

An information processing apparatus includes a processor configured to: obtain plural first document images; execute classification processing for classifying each of the plural first document images, based on reliability of each of plural second document images in relation to each of the plural first document images, each of the plural second document images being preset in accordance with a classification type; and perform display control to display a first group of the plural first document images and a second group of the plural second document images on an identical screen and also to display results of the classification processing on the identical screen.

A system includes a computing platform having processing hardware, and a systems memory storing a software code. The processing hardware is configured to execute the software code to receive content including an image having multiple image regions, determine boundaries of each of the image regions to identify multiple bounded image regions, identify, within each of the bounded image regions, one or more local features and one or more global features, and identify, within each of the hounded image regions, another one or more local features based on a comparison with corresponding local features identified in each of one or more other bounded image regions. The processing hardware is further configured to execute the software code to annotate each of the bounded image regions using its respective one or more local features, its other one or more local features, and its one or more global features, to provide annotated content.

A system includes a computing platform having processing hardware, and a systems memory storing a software code. The processing hardware is configured to execute the software code to receive content including an image having multiple image regions, determine boundaries of each of the image regions to identify multiple bounded image regions, identify, within each of the bounded image regions, one or more local features and one or more global features, and identify, within each of the hounded image regions, another one or more local features based on a comparison with corresponding local features identified in each of one or more other bounded image regions. The processing hardware is further configured to execute the software code to annotate each of the bounded image regions using its respective one or more local features, its other one or more local features, and its one or more global features, to provide annotated content.