A computer system is provided, comprising a processor; a communications module coupled to the processor; and a memory module coupled to the processor and storing instructions that, when executed by the processor, cause the computer system to: receive an image representing a check; extract data from a portion of the image; identify routing data, based on the extracted data, from a recipient field associated with the check; and initiate an electronic transfer by sending a transfer message using the routing data.

An information processing device 1 includes an assessment unit 12-2 that acquires information on an object of a user through a network N, and acquires a purchase price based on the information on the object at the time of purchasing the object, a contract unit 12-3 that gives a notification of a purchase price, a lease charge when leasing the object to be purchased to a user, and various conditions relating to a lease contract through the network, and accepts the lease contract, and a contract management unit 12-5 that pays the purchase price to a user, accepts payment of the lease charge, and manages a lease charge payment situation. A user can raise a fund corresponding to the purchase price with easy means of transmitting information on the object through the network N.

An information processing device 1 includes an assessment unit 12-2 that acquires information on an object of a user through a network N, and acquires a purchase price based on the information on the object at the time of purchasing the object, a contract unit 12-3 that gives a notification of a purchase price, a lease charge when leasing the object to be purchased to a user, and various conditions relating to a lease contract through the network, and accepts the lease contract, and a contract management unit 12-5 that pays the purchase price to a user, accepts payment of the lease charge, and manages a lease charge payment situation. A user can raise a fund corresponding to the purchase price with easy means of transmitting information on the object through the network N.

Reducing false detections in template-based classification of identity documents. In an embodiment, an iterative procedure is used to generate one or more hypotheses for the location of a document in image data and a type of document in the image data based on a plurality of predefined models representing a plurality of types of documents. The one or more hypotheses are filtered by rejecting any hypothesis that is not well-conditioned according to one or more criteria. When a best hypothesis that satisfies a threshold remains after filtering the one or more hypotheses, the document in the image data is analyzed, and, when no hypothesis that satisfies the threshold remains after filtering the one or more hypotheses, the image data is rejected.

Reducing false detections in template-based classification of identity documents. In an embodiment, an iterative procedure is used to generate one or more hypotheses for the location of a document in image data and a type of document in the image data based on a plurality of predefined models representing a plurality of types of documents. The one or more hypotheses are filtered by rejecting any hypothesis that is not well-conditioned according to one or more criteria. When a best hypothesis that satisfies a threshold remains after filtering the one or more hypotheses, the document in the image data is analyzed, and, when no hypothesis that satisfies the threshold remains after filtering the one or more hypotheses, the image data is rejected.

Systems, computer program products, and methods are described herein for the generation of an interface for upload and remote acceptance of a data file. The present invention may be configured to receive a request from a user to transfer resources associated with a document and certain user information from the user device. The document and/or the user may be associated with a supporting document. The present invention may be further configured to generate an interface comprising a triggered prompt for resource information, a triggered prompt for one or more data files containing the document, and a triggered prompt for one or more data files containing the supporting document. The present invention may be further configured to generate a request folder associated with the request. The request folder may contain the resource information, user information, the data files associated containing the document, and the data files containing the supporting document.

Systems, computer program products, and methods are described herein for the generation of an interface for upload and remote acceptance of a data file. The present invention may be configured to receive a request from a user to transfer resources associated with a document and certain user information from the user device. The document and/or the user may be associated with a supporting document. The present invention may be further configured to generate an interface comprising a triggered prompt for resource information, a triggered prompt for one or more data files containing the document, and a triggered prompt for one or more data files containing the supporting document. The present invention may be further configured to generate a request folder associated with the request. The request folder may contain the resource information, user information, the data files associated containing the document, and the data files containing the supporting document.

A tiered processing scheme for processing image data is provided. A method can include obtaining image data indicative of one or more court judgment(s) with a number of features. The method can include obtaining judgment information from the image data by applying a number of image processing techniques in accordance with a processing hierarchy tailored to the image data. The image data can be classified by a machine-learning model and the processing hierarchy can be determined based on the classification. The processing hierarchy balances the computing resources used by a respective technique with the accuracy afforded by the technique when applied to image data with a respective classification. A computing system can utilize the processing hierarchy to leverage different image processing techniques in a tiered processing scheme tailored to image data.

Systems and methods, and computer readable media for image transaction processing are disclosed. The method receives an input of images of documents. The method may then analyze the input using an image processing engine to determine attributes associated with the images of the documents and identify an account linked to the attributes and a transaction associated with the account. The method may also evaluate confidence level of association links between the transaction and the account based on confidence scores of the attributes that may identify a type of the attribute. The method may use the transaction and account to split the images of documents into sets of images of documents with each set of images with confidence level of an association link between the transaction and the account associated with them being greater than a threshold value.

System receives historical text block, creates historical features for historical text block's historical text lines. System trains machine-learning model to cluster historical features into historical features clusters based on their similarities. System identifies historical features cluster as historical human text cluster. System classifies each historical text line for historical human text cluster as human text, and each historical text line for other historical features clusters as machine text. System receives text block, creates features for text block's text lines. System applies trained machine-learning model to cluster features into features clusters based on their similarities. System identifies features cluster as human text cluster. System classifies each text line for human text cluster as human text, and each text line for other features clusters as machine text. System applies human text analysis to each text line classified as human text and machine text analysis to each text line classified as machine text.