The present disclosure relates to simulating the capture of images. In some embodiments, a document and a camera are simulated using a three-dimensional modeling engine. In certain embodiments, a plurality of images are captured of the simulated document from a perspective of the simulated camera, each of the plurality of images being captured under a different set of simulated circumstances within the three-dimensional modeling engine. In some embodiments, a model is trained based at least on the plurality of images which determines at least a first technique for adjusting a set of parameters in a separate image to prepare the separate image for optical character recognition (OCR).

A determination device (10) includes: a reception unit (15a) that receives operation events; an estimation unit (15b) that estimates a determination criterion for determining identity of the operation events on the basis of an attribute value of an operation log included in the operation events; and a determination unit (15c) that determines identity for an operation event to be processed on the basis of the determination criterion.

Method includes extracting, from document image, tables as objects; outputting tables in an XML format; filtering tables based on keywords and a condition including one from among AND and OR, which includes: for each of tables, determining whether the table includes at least one from among a first keyword and a second keyword, for condition being AND, based on the table containing first keyword and second keyword, outputting the table, as filtered table, and, for condition being OR, based on the table containing first keyword or second keyword, outputting the table, as filtered table, thereby outputting filtered tables that include the first keyword and/or the second keyword based on condition; executing query on filtered tables that includes keys composed based on cell level information associated with filtered tables; identifying cells based on keys; and providing target content that corresponds to cells, as response to query.

Method includes extracting, from document image, tables as objects; outputting tables in an XML format; filtering tables based on keywords and a condition including one from among AND and OR, which includes: for each of tables, determining whether the table includes at least one from among a first keyword and a second keyword, for condition being AND, based on the table containing first keyword and second keyword, outputting the table, as filtered table, and, for condition being OR, based on the table containing first keyword or second keyword, outputting the table, as filtered table, thereby outputting filtered tables that include the first keyword and/or the second keyword based on condition; executing query on filtered tables that includes keys composed based on cell level information associated with filtered tables; identifying cells based on keys; and providing target content that corresponds to cells, as response to query.

The present application is directed to apparatuses, methods, and systems for remote deposit capture with enhanced image detection. In one form, a system includes a processor configured to extract an instrument image from an image that is associated with an account, where the instrument image is extracted by determining at least one corner of a plurality of corners of an instrument in the image, and to transmit the instrument image to a financial institution server to transfer funds between financial institution accounts.

An inspection apparatus selects at least one character area, in a first preview image obtained by reading and previewing a print product, sets a direction, for a character in the selected character area, registers the set direction and the character in the selected character area in association with each other, selects at least one character inspection area, in a second preview image obtained by reading and previewing a print product as an inspection target, sets a direction, for a character in the selected character inspection area, rotates the character inspection area to match the set direction, with the direction set for the character in the selected character area, performs character recognition, for the character in the rotated character inspection area, and inspects the character inspection area, based on a result of the character recognition and a result of recognizing the character in the selected character area.

An inspection apparatus selects at least one character area, in a first preview image obtained by reading and previewing a print product, sets a direction, for a character in the selected character area, registers the set direction and the character in the selected character area in association with each other, selects at least one character inspection area, in a second preview image obtained by reading and previewing a print product as an inspection target, sets a direction, for a character in the selected character inspection area, rotates the character inspection area to match the set direction, with the direction set for the character in the selected character area, performs character recognition, for the character in the rotated character inspection area, and inspects the character inspection area, based on a result of the character recognition and a result of recognizing the character in the selected character area.

Systems and methods provide a deployable cloud-agnostic redaction container for performing optical character recognition and redacting information from a document using a cloud-based, guided redaction framework. An example method for document redaction includes receiving a plurality of documents and extracting pages from the plurality of documents. The method then determines, based on a load balancing criterion, a processing order for the pages extracted from the plurality of documents, and performs, based on the processing order, an optical character recognition process and a redaction process on the pages to generate redacted pages. The redacted pages are provided for transmission or storage to a cloud data management platform.

Systems and methods provide a deployable cloud-agnostic redaction container for performing optical character recognition and redacting information from a document using a cloud-based, guided redaction framework. An example method for document redaction includes receiving a plurality of documents and extracting pages from the plurality of documents. The method then determines, based on a load balancing criterion, a processing order for the pages extracted from the plurality of documents, and performs, based on the processing order, an optical character recognition process and a redaction process on the pages to generate redacted pages. The redacted pages are provided for transmission or storage to a cloud data management platform.

A digital camera processing system with software to manage taking photos with a digital camera. Camera software controls the digital camera. A downloaded software component controls the digital camera software and causes a handheld mobile device to perform operations. The operations may include instructing a user to have the digital camera take photos of a check; displaying an instruction on a display of the handheld mobile device to assist the user in having the digital camera take the photos; or assisting the user as to an orientation for taking the photos with the digital camera. The digital camera processing system may generate a log file including a bi-tonal image formatted as a TIFF image.