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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
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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