Plenoptic Face Presentation Attack Detection

Plenoptic Face Presentation Attack Detection

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...

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Bibliographic Details
Main Authors: Shuaishuai Zhu, Xiaobo Lv, Xiaohua Feng, Jie Lin, Peng Jin, Liang Gao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Biometrics
face recognition
multi-spectral imaging
light-field imaging
Online Access:https://ieeexplore.ieee.org/document/9035405/
Description
Summary: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.
ISSN:2169-3536

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