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:
Nov. 28, 2023

Filed:

Jan. 07, 2020
Applicant:

Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, CN;

Inventors:

Shengguo Wang, Hangzhou, CN;

Xianlin Zhao, Hangzhou, CN;

Chuan Shen, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/143 (2022.01); G06V 40/16 (2022.01); G06V 10/54 (2022.01); G06V 10/82 (2022.01); G06V 10/80 (2022.01); G06V 40/40 (2022.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06V 10/143 (2022.01); G06N 3/04 (2013.01); G06V 10/54 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 40/166 (2022.01); G06V 40/171 (2022.01); G06V 40/45 (2022.01);
Abstract

Method, an electronic device and a storage medium for living body detection based on face recognition are disclosed. The method comprises: obtaining to-be-detected infrared image and visible light image; performing edge detection and texture feature extraction on the infrared image, and feature extraction on the visible light image through a convolutional neural network; and determining whether the infrared and visible light images pass living body detection based on results of the edge detection and texture feature extraction on the to-be-detected infrared image, and a result of feature extraction on the to-be-detected visible light image through the convolutional neural network. The method, an electronic device and a storage medium for living body detection based on face recognition combine the advantages of three technologies of edge detection, texture feature extraction and convolution neural network, effectively perform living body detection, and improve the determination accuracy.


Find Patent Forward Citations

Loading…