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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 11967164 B1

PDFFull Text
Date of Patent:
Apr. 23, 2024

Filed:

Apr. 13, 2023

Object detection and image cropping using a multi-detector approach

Applicant:

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

Inventors:

Jiyong Ma, San Diego, CA (US);

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

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

Assignee:

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

Attorney:

Zilka-Kotab, P.C.

Primary Examiner:

Van D Huynh

Int. Cl.
CPC ...
G06V 30/00 (2022.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06N 7/00 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); 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 10/762 (2022.01); G06V 10/80 (2022.01); G06V 20/40 (2022.01); G06V 30/146 (2022.01); G06V 30/162 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01); G06V 30/413 (2022.01); G06V 10/28 (2022.01); G06V 30/10 (2022.01); G06V 30/224 (2022.01);
U.S. Cl.
CPC ...
G06V 30/147 (2022.01); G06F 18/217 (2023.01); G06F 18/285 (2023.01); 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 10/762 (2022.01); G06V 10/809 (2022.01); G06V 20/40 (2022.01); G06V 30/162 (2022.01); G06V 30/18105 (2022.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G06V 30/413 (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); G06V 30/10 (2022.01); G06V 30/2253 (2022.01);
Abstract

Systems, methods and computer program products for detecting objects using a multi-detector are disclosed, according to various embodiments. In one aspect, a computer-implemented method includes defining analysis profiles, where each analysis profile: corresponds to one of a plurality of detectors, and comprises: a unique set of analysis parameters and/or a unique detection algorithm. The method further includes analyzing image data in accordance with the analysis profiles; selecting an optimum analysis result based on confidence scores associated with different analysis results; and detecting objects within the optimum analysis result. According to additional aspects, the analysis parameters may define different subregions of a digital image to be analyzed; a composite analysis result may be generated based on analysis of the different subregions by different detectors; and the optimum analysis result may be based on the composite analysis result.

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