A closer look tells more: A facial distortion based liveness detection for face authentication

• Main Authors: LI, Yan, WANG, Zilong, LI, Yingjiu, DENG, Robert H., CHEN, Binbin, MENG, Weizhi, LI, Hui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Face authentication; Liveness detection; Perspective distortion; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/4513; https://ink.library.smu.edu.sg/context/sis_research/article/5516/viewcontent/p241_li.pdf
• Institution: Singapore Management University

Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D virtual face models of victims to spoof face authentication systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, to protect the face authentication on mobile devices. FaceCloseup detects MVFF-based attacks by analyzing the distortion of face regions in a user's closeup facial videos captured by built-in camera on mobile device. It can detect MVFF-based attacks with an accuracy of 99.48%.