HUMAN FACE LIVENESS DETECTION METHOD BASED ON POLARIZATION IMAGING - TIANJIN ACADEMY FOR INTELLIGENT RECOGNITION TECH

Title:

HUMAN FACE LIVENESS DETECTION METHOD BASED ON POLARIZATION IMAGING

Document Type and Number:

WIPO Patent Application WO/2021/217764

Kind Code:

A1

Abstract:

A human face liveness detection method based on polarization imaging, comprising the steps of: collecting, at a plurality of angles in real time, polarization images of a target to be detected; and performing polarization analysis on the polarization images by using a polarization human face feature learning and classification network model based on a Siamese neural network structure, so as to recognize that the target to be detected is real or fake. The method uses a non-contact real time detection means, does not require active cooperation of a user, and can implement accurate detection even in a user non-cooperation state, thereby having good user experience.

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Inventors:

ZHANG KUNBO (CN)
SUN ZHENAN (CN)
TIAN YU (CN)
WANG LEYUAN (CN)

Application Number:

PCT/CN2020/092040

Publication Date:

November 04, 2021

Filing Date:

May 25, 2020

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Assignee:

TIANJIN ACADEMY FOR INTELLIGENT RECOGNITION TECH (CN)
INST AUTOMATION CAS (CN)

International Classes:

G06N3/04

Foreign References:

US9830506B2	2017-11-28
CN110222647A	2019-09-10

Other References:

SUN PENGCHENG, ZENG DAN, LI XIAOYAN, YANG LIN, LI LIYUAN, CHEN ZHOUXIA, CHEN FANSHENG: "A 3D Mask Presentation Attack Detection Method Based on Polarization Medium Wave Infrared Imaging", SYMMETRY, vol. 12, no. 3, 3 March 2020 (2020-03-03), pages 3 - 8, XP055866938
YANG JIANWEI, LEI ZHEN, LI STAN Z: "Learn Convolutional Neural Network for Face Anti-Spoofing", ARXIV:1408.5601V2[CS.CV, 26 August 2014 (2014-08-26), pages 4 - 5, XP055429154

Attorney, Agent or Firm:

TIANJIN SANLI PATENT&TRADEMARK AGENCY CO., LTD. et al. (CN)

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