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:
Jul. 14, 2020

Filed:

Mar. 19, 2018
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Shouhong Ding, Shenzhen, CN;

Jilin Li, Shenzhen, CN;

Chengjie Wang, Shenzhen, CN;

Feiyue Huang, Shenzhen, CN;

Yongjian Wu, Shenzhen, CN;

Guofu Tan, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/00248 (2013.01); G06K 9/00268 (2013.01); G06K 9/00281 (2013.01); G06K 9/00288 (2013.01); G06K 9/6247 (2013.01); G06K 9/6278 (2013.01); G06K 2009/4666 (2013.01);
Abstract

The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.


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