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Face recognition system is proven to be vulnerable to face spoofing attack. Many approaches have been proposed in the literature to resolve this vulnerability. This paper proposes a novel method dedicated to mobile systems. The approach asks users to capture a video by moving the device around their face. Thanks to a 3D reconstruction process, the shape of the object is estimated from the video. By evaluating this 3D shape, we can rapidly eliminate attacks in which a photo of a legitimate face is used. Then, the camera’s poses estimated from the 3D reconstruction is used to be compared to the data captured from the device’s motion sensors. Experimental results on a real database show the efficiency of the proposed approach.

Face Spoofing Detection for Smartphones using a 3D Reconstruction and the Motion Sensors