The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 19, 2016

Filed:

May. 20, 2014
Applicant:

Kofax, Inc., Irvine, CA (US);

Inventors:

Jan Amtrup, Chevy Chase, MD (US);

Anthony Macciola, Chino Hills, CA (US);

Steve Thompson, Oceanside, CA (US);

Assignee:

Kofax, Inc., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/18 (2006.01); G06Q 20/10 (2012.01); G06Q 20/32 (2012.01); G06K 9/03 (2006.01); G06K 9/20 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00442 (2013.01); G06K 9/00469 (2013.01); G06K 9/00483 (2013.01); G06K 9/00523 (2013.01); G06K 9/03 (2013.01); G06K 9/18 (2013.01); G06K 9/183 (2013.01); G06K 9/2063 (2013.01); G06Q 20/10 (2013.01); G06Q 20/3276 (2013.01); G06K 2209/01 (2013.01);
Abstract

Computer program products include program code readable/executable by one or more processors, and configured to cause the processor(s) to: receive an image of a part or all of a document selected from a group consisting of: a gift card, an invoice, a bill, a receipt, a sales order, an insurance claim, a medical insurance document, and a benefits document; perform optical character recognition (OCR) on the image; extract at least a partial address of a sender of the document; compare the at least partial address of the sender to a plurality of addresses in a first database; and identify one or more of: textual information specific to the sender; and data formatting specific to the sender. The code configured to cause the processor to receive the image, perform the OCR, extract and compare the (at least partial) address, and identify sender-specific information is preferably a processor of a mobile device.


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