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:
May. 02, 2023

Filed:

Aug. 28, 2020
Applicant:

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

Inventors:

Jiyong Ma, San Diego, CA (US);

Stephen M. Thompson, Oceanside, CA (US);

Jan W. Amtrup, Silver Spring, MD (US);

Assignee:

KOFAX, INC., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06T 7/90 (2017.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06T 7/70 (2017.01); G06T 7/12 (2017.01); G06V 10/44 (2022.01); G06V 20/40 (2022.01); G06T 7/11 (2017.01); G06N 20/00 (2019.01); G06N 7/00 (2006.01); G06T 7/00 (2017.01); G06V 10/28 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6227 (2013.01); G06K 9/6262 (2013.01); G06N 7/00 (2013.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/44 (2022.01); G06V 20/40 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30176 (2013.01); G06V 10/28 (2022.01);
Abstract

According to an exemplary embodiment, a method for pre-cropping digital image data includes: dividing the digital image into segments; computing a color value distance between corresponding pixels of neighboring segments of the digital image; comparing the color value distance(s) against a minimum color distance threshold; clustering neighboring segments having a color value distance less than or equal to the minimum color distance threshold; computing a connected structure based on the clustered segments; computing a polygon bounding the connected structure; comparing a fraction of segments included in the connected structure and the polygon, relative to a total number of segments in the digital image, to a minimum included segment threshold; and in response to determining the fraction of segments in the connected structure and the polygon, relative to the total number of segments meets or exceeds a minimum included segment threshold, cropping the digital image based on edges of the polygon.


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