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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.

Patent No.:

US 11797857 B1

PDFFull Text
Date of Patent:
Oct. 24, 2023

Filed:

Nov. 17, 2020

Image processing system, image processing method, and storage medium

Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventor:

Hidekazu Seto, Tokyo, JP;

Assignee:

Canon Kabushiki Kaisha, Tokyo, JP;

Attorney:

Canon U.S.A., Inc. IP Division

Primary Examiner:

Neil R McLean

Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06K 7/14 (2006.01); G06V 30/32 (2022.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06V 10/24 (2022.01); G06V 30/413 (2022.01); H04N 1/00 (2006.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06K 7/1417 (2013.01); G06N 20/00 (2019.01); G06V 10/245 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 30/32 (2022.01); G06V 30/413 (2022.01); H04N 1/00795 (2013.01); H04N 2201/0094 (2013.01);
Abstract

To reduce the possibility of false determination for a character string alteration in image data, embodiments of the present disclosure include a generation unit configured to generate a learning model by performing machine learning processing based on an altered character image, a character image before an alteration, and an image representing the difference between the altered character image and the character image before the alteration, an input unit configured to input image data, and an estimation unit configured to estimate whether the image data input by the input unit includes an altered character, by using the learning model generated by the generation unit.

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