基于面部特征点运动的活体识别方法

doi:10.11959/j.issn.2096-109x.2018044

Abstract

Abstract:

A kind of living body recognition method was proposed,which was applied in mobile terminal and based on the deep learning.A facial movements LSTM network was trained using data sets.When users input a random sequence of video,user’s facial feature point data can be gained and whether the video forgery attacks happened will be determined by input user’s facial feature point data into circulation neural network.The test data shows that the proposed method can be protected effectively from photograph attack and video replay attack.

Key words: living body recognition, facial feature point, deep learning, LSTM

CLC Number:

TP301.6

Yulong WANG,Kaiyuan LIU. Living body recognition method based on facial feature point motion[J]. Chinese Journal of Network and Information Security, 2018, 4(6): 36-44.

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视频类型	召回率	精确率	F1
照片欺骗	1	1	1
视频合成	1	0.923 0	0.959 9

Living body recognition method based on facial feature point motion

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