一种利用背景光流特征的虚假人脸检测方法

doi:10.19665/j.issn1001-2400.2021.05.011

Abstract

Abstract:

The face recognition system is vulnerable to spoofing attacks by presenting photosor videos of a valid user,but there is a hand shaking existing when the illegal user holds the photosor videos.Focused on this phenomenon to represent motion information by optical flow features,an ovelface anti-spoofing method which exploits the background of optical flow features is proposed.The method took advantage of the background motion difference between the registered user and the invalid user to analyze the optical flow angle distribution of outside the face in multi comparing regions.And the similarity function is built to measure the correlation degree between the discograms of optical flow angle distribution in comparing regions.According to the measurements of the background comparing regions,their motion consistency have been evaluated,then the real face or the attacked face will be detected.Experiments have been done on the publicface anti-spoofing database of the Replay Attack and CASIA-FASD.The accuracy of the new method is 97.87% and 90.95%,respectively,which shows that the new method can effectively detect the attacker hold photosor videos with the background region.

Key words: face anti-spoofing, background motion, optical flow computation, histograms

CLC Number:

TP391

KONG Yueping,LIU Chu,ZHU Xudong. Faceanti-spoofing method using the optical flow features of back ground[J].Journal of Xidian University, 2021, 48(5): 86-91.

Figures/Tables 10

References 16

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实验数据集	E	H	Z
Replay-Attack	2.28	1.25	97.87
CASIA-FASD	6.58	6.04	90.95

方法	ReplayAttack数据集			CASIA-FASD数据集
方法	E	H		E		H
LBP^[1]	14.41		15.45		24.63		23.19
Moire Pattern^[13]			3.30				0.00
CNN^[6]	4.14		2.53		6.98		6.99
3DCNN^[14]	0.16		0.04		5.25		11.34
Motion^[15,16]	11.66		11.79		26.65		30.33
新方法	2.28		1.25		6.58		6.04

Faceanti-spoofing method using the optical flow features of back ground

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