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Open AccessArticle

A Smart Spoofing Face Detector by Display Features Analysis

Department of Communication Engineering, Oriental Institute of Technology, New Taipei City 220, Taiwan
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Author to whom correspondence should be addressed.
Academic Editors: Teen-Hang Meen, Shoou-Jinn Chang and Stephen D. Prior
Sensors 2016, 16(7), 1136; https://doi.org/10.3390/s16071136
Received: 16 May 2016 / Revised: 7 July 2016 / Accepted: 18 July 2016 / Published: 21 July 2016
In this paper, a smart face liveness detector is proposed to prevent the biometric system from being “deceived” by the video or picture of a valid user that the counterfeiter took with a high definition handheld device (e.g., iPad with retina display). By analyzing the characteristics of the display platform and using an expert decision-making core, we can effectively detect whether a spoofing action comes from a fake face displayed in the high definition display by verifying the chromaticity regions in the captured face. That is, a live or spoof face can be distinguished precisely by the designed optical image sensor. To sum up, by the proposed method/system, a normal optical image sensor can be upgraded to a powerful version to detect the spoofing actions. The experimental results prove that the proposed detection system can achieve very high detection rate compared to the existing methods and thus be practical to implement directly in the authentication systems. View Full-Text
Keywords: spoofing action detector; non-intrusive anti-spoofing face liveness detection; probabilistic neural network; biometric authentication system cheat; display features analysis spoofing action detector; non-intrusive anti-spoofing face liveness detection; probabilistic neural network; biometric authentication system cheat; display features analysis
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Lai, C.; Tai, C. A Smart Spoofing Face Detector by Display Features Analysis. Sensors 2016, 16, 1136.

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