Plenoptic Face Presentation Attack Detection

Shuaishuai Zhu, Xiaobo Lv, Xiaohua Feng, Jie Lin, Peng Jin, Liang S. Gao · IEEE Access · 2020

The vulnerability of current face recognition systems to presentation attacks significantly limits their application in biometrics. Herein, we present a passive presentation attack detection method based on a complete plenoptic imaging system which can derive the complete plenoptic function of light rays using a single detector. Moreover, we constructed a multi-dimensional face database with 50 subjects and seven different types of presentation attacks. We experimentally demonstrated that our approach outperforms the state-of-the-art methods on all types of presentation attacks.

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