Face Presentation Attack Detection

• URL: http://arxiv.org/abs/2212.03680v1
• Date: Wed, 7 Dec 2022 14:51:17 GMT
• Title: Face Presentation Attack Detection
• Authors: Zitong Yu, Chenxu Zhao, Zhen Lei
• Abstract summary: Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios.
• Score: 59.05779913403134
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios. A presentation attack is first defined in ISO standard as: a presentation to the biometric data capture subsystem with the goal of interfering with the operation of the biometric system. Specifically, PAs range from simple 2D print, replay and more sophisticated 3D masks and partial masks. To defend the face recognition systems against PAs, both academia and industry have paid extensive attention to developing face presentation attack detection (PAD) technology (or namely `face anti-spoofing (FAS)').

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