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Title:
IDENTITY AUTHENTICATION METHOD, SYSTEM AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2019/024636
Kind Code:
A1
Abstract:
The present invention relates to an identity authentication method, comprising the following steps: obtaining an identity card image, a face visible light image, and a face near-infrared light image of a person to be authenticated; inputting the identity card image, the face visible light image, and the face near-infrared light image into a Triplets CNN model which is trained in advance, and extracting the convolution features of the identity card image, the face visible light image, and the face near-infrared light image to obtain corresponding feature vectors; calculating the similarity between any two of the identity card image, the face visible light image, and the face near-infrared light image separately according to the feature vectors; and determining the consistency among the identity card image, the face visible light image, and the face near-infrared light image according to the similarity, and outputting an identity authentication result. In the present invention, the Triplets and the deep convolutional neural network (CNN) model are effectively combined, so that the robustness of identity authentication can be effectively improved, and thus the accuracy of identity authentication is increased.

Inventors:
LIANG, Tiancai (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
WANG, Dan (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
XU, Dandan (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
JIN, Xiaofeng (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
ZHANG, Liepiao (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
Application Number:
CN2018/093787
Publication Date:
February 07, 2019
Filing Date:
June 29, 2018
Export Citation:
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Assignee:
GRG BANKING EQUIPMENT CO., LTD. (9 11 Kelin Road, Science CityHigh-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
GRG TALLY-VISION I.T. CO., LTD. (001-030 Office, GRG Space Institute Building,9 Kelin Road, Science City, High-tech Industry Development Zon, Guangzhou Guangdong 3, 510663, CN)
International Classes:
G06K9/00; G06K9/62
Foreign References:
CN107577987A2018-01-12
CN106780906A2017-05-31
CN105608450A2016-05-25
US20160180151A12016-06-23
CN106339695A2017-01-18
CN106203533A2016-12-07
Attorney, Agent or Firm:
ADVANCE CHINA IP LAW OFFICE (Room 3901, No. 85 Huacheng Avenue Tianhe Distric, Guangzhou Guangdong 3, 510623, CN)
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