Face Liveness Detection From a Single Image via Diffusion Speed Model

Face Liveness Detection From a Single Image via Diffusion Speed Model

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Face Liveness Detection From a Single Image via Diffusion Speed Model

Abstract? Face Liveness Detection From a Single Image via Diffusion Speed Model. Spoo?ng using photographs or videos is one of the most common methods of attacking face recognition and veri?cation systems. In this paper, we propose a real-time and nonintrusive method based on the diffusion speed of a single image to address this problem. In particular, inspired by the observation that the difference in surface properties between a live face and a fake one is ef?ciently revealed in the diffusion speed, we exploit anti spoo?ng features by utilizing the total variation ?ow scheme. More speci?cally, we propose de?ning the local patterns of the diffusion speed, the so-called local speed patterns, as our features, which are input into the linear < Final Year Projects 2016 > SVM classi?er to determine whether the given face is fake or not.

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