Face Liveness Detection Using Eulerian Video Magnification and SIFT Algorithm

被引：0
作者：
Zhao, Wei [1 ]
Ma, Yan [1 ]
He, Xiaofu [2 ]
Huang, Hui [1 ]
Lin, Xiao [1 ]
Zhang, Yuping [1 ]
机构：
[1] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai, Peoples R China
[2] Columbia Univ, Coll Phys & Surg, New York, NY USA
来源：
PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS) | 2020年
基金：
中国国家自然科学基金;
关键词：
liveness detection; video magnification; SIFT algorithm; feature histogram; SVM; RECOGNITION;
D O I：
10.1109/icaiis49377.2020.9194790
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, face liveness detection method which is based on very short video is proposed. Firstly, spatial and temporal video processing is performed by using Eulerian video magnification. Next, the matching pairs between frames are extracted from the original video. Then, the paper constructs the feature histogram from the color difference between two pixels according to SIFT matching pairs. Finally, we use SVM classifier to determine the liveness of the subject. The experimental results show that the detection accuracy is 95% and the liveness detection can be completed in less than one second without any specific user action.
引用
收藏
页码：680 / 684
页数：5
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