Context Based Face Spoofing Detection Using Active Near-Infrared Images

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	Context Based Face Spoofing Detection Using Active Near-Infrared Images
	Xudong Sun; Lei Huang; Changping Liu
	2016
会议名称	International Conference on Pattern Recognition
会议录名称	International Conference on Pattern Recognition
会议日期	2016.12
会议地点	Cancun, Mexico
摘要	In this paper, with the help of controllable active near-infrared (NIR) lights, we construct near-infrared differential (NIRD) images. Based on reflection model, NIRD image is believed to contain the lighting difference between images with and without active NIR lights. Two main characteristics based on NIRD images are exploited to conduct spoofing detection. Firstly, there exist obviously spoofing media around the faces in most conditions, which reflect incident lights in almost the same way as the face areas do. We analyze the pixel consistency between face and non-face areas and employ context clues to distinguish the spoofing images. Then, lighting feature, extracted only from face areas, is utilized to detect spoofing attacks of deliberately cropped medium. Merging the two features, we present a face spoofing detection system. In several experiments on self collected datasets with different spoofing media, we demonstrate the excellent results and robustness of proposed method.
关键词	Biometric Security Face Spoofing Detection Context Consistency
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20956
专题	投资企业
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xudong Sun,Lei Huang,Changping Liu. Context Based Face Spoofing Detection Using Active Near-Infrared Images[C],2016.

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