Secure Face Unlock: Spoof Detection on Smartphones

doi:10.1109/TIFS.2016.2578288

	Secure Face Unlock: Spoof Detection on Smartphones
	Patel, Keyurkumar 1; Han, Hu 1,2; Jain, Anil K.
	2016-10-01
发表期刊	IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
ISSN	1556-6013
卷号	11 期号:10 页码:2268-2283
摘要	With the wide deployment of the face recognition systems in applications from deduplication to mobile device unlocking, security against the face spoofing attacks requires increased attention; such attacks can be easily launched via printed photos, video replays, and 3D masks of a face. We address the problem of face spoof detection against the print (photo) and replay (photo or video) attacks based on the analysis of image distortion (e.g., surface reflection, moire pattern, color distortion, and shape deformation) in spoof face images (or video frames). The application domain of interest is smartphone unlock, given that the growing number of smartphones have the face unlock and mobile payment capabilities. We build an unconstrained smartphone spoof attack database (MSU USSA) containing more than 1000 subjects. Both the print and replay attacks are captured using the front and rear cameras of a Nexus 5 smartphone. We analyze the image distortion of the print and replay attacks using different: 1) intensity channels (R, G, B, and grayscale); 2) image regions (entire image, detected face, and facial component between nose and chin); and 3) feature descriptors. We develop an efficient face spoof detection system on an Android smartphone. Experimental results on the public-domain Idiap Replay-Attack, CASIA FASD, and MSU-MFSD databases, and the MSU USSA database show that the proposed approach is effective in face spoof detection for both the cross-database and intra-database testing scenarios. User studies of our Android face spoof detection system involving 20 participants show that the proposed approach works very well in real application scenarios.
关键词	Face antispoofing face unlock spoof detection on smartphone unconstraint smartphone spoof attack database image distortion analysis
DOI	10.1109/TIFS.2016.2578288
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000382167800010
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：269[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8153
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Han, Hu
作者单位	1.Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Patel, Keyurkumar,Han, Hu,Jain, Anil K.. Secure Face Unlock: Spoof Detection on Smartphones[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2016,11(10):2268-2283.
APA	Patel, Keyurkumar,Han, Hu,&Jain, Anil K..(2016).Secure Face Unlock: Spoof Detection on Smartphones.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,11(10),2268-2283.
MLA	Patel, Keyurkumar,et al."Secure Face Unlock: Spoof Detection on Smartphones".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 11.10(2016):2268-2283.