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Plenoptic Face Presentation Attack Detection
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DOI：10.1109/ACCESS.2020.2980755.png)
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Abstract
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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.
Keywords:
Biometrics
face recognition
multi-spectral imaging
light-field imaging
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