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:
Apr. 02, 2024

Filed:

Jun. 30, 2023
Applicant:

Xingchong Kingdom (Beijing) Technology Co., Ltd, Beijing, CN;

Inventors:

Yiduan Wang, Beijing, CN;

Cheng Song, Beijing, CN;

Baoguo Liu, Xianyang, CN;

Weipeng Guo, Foshan, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G06V 10/24 (2022.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/70 (2022.01); G06V 10/74 (2022.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06V 40/10 (2022.01); G06V 10/24 (2022.01); G06V 10/267 (2022.01); G06V 10/44 (2022.01); G06V 10/70 (2022.01); G06V 10/751 (2022.01); G06V 10/761 (2022.01);
Abstract

The present disclosure provides a dog nose print recognition method and system. The dog nose print recognition method includes: collecting a nose image of a dog, acquiring the nose image, and processing the nose image to obtain a plurality of regional images to be recognized; performing key point detection on the plurality of regional images to be recognized to obtain key points corresponding to the regional images to be recognized, and using the key points to perform alignment processing of the regional images to be recognized to obtain aligned regional images to be recognized; and performing dog nose print feature vector extraction and recognition on the aligned regional images to be recognized, and determining a dog identity recognition result through the dog nose print feature vector extraction and recognition. The system includes modules corresponding to the steps of the method.


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