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:
Oct. 29, 2024

Filed:

Nov. 08, 2023
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Reza Farivar, Champaign, IL (US);

Kenneth Taylor, Champaign, IL (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Int. Cl.
CPC ...
G06T 5/80 (2024.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 30/148 (2022.01); G06V 30/19 (2022.01); G06V 30/40 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06T 5/80 (2024.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 30/153 (2022.01); G06V 30/19173 (2022.01); G06V 30/40 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01);
Abstract

Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.


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