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/
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spelling doaj-305b813f2a414563b496df8a850e21872021-03-30T01:30:52ZengIEEEIEEE Access2169-35362020-01-018590075901410.1109/ACCESS.2020.29807559035405Plenoptic Face Presentation Attack DetectionShuaishuai Zhu0https://orcid.org/0000-0003-1573-3808Xiaobo Lv1Xiaohua Feng2Jie Lin3Peng Jin4https://orcid.org/0000-0003-2228-131XLiang Gao5Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USACenter of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, ChinaDepartment of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USACenter of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, ChinaCenter of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, ChinaDepartment of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USAThe 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.https://ieeexplore.ieee.org/document/9035405/Biometricsface recognitionmulti-spectral imaginglight-field imaging
collection DOAJ
language English
format Article
sources DOAJ
author Shuaishuai Zhu
Xiaobo Lv
Xiaohua Feng
Jie Lin
Peng Jin
Liang Gao
spellingShingle Shuaishuai Zhu
Xiaobo Lv
Xiaohua Feng
Jie Lin
Peng Jin
Liang Gao
Plenoptic Face Presentation Attack Detection
IEEE Access
Biometrics
face recognition
multi-spectral imaging
light-field imaging
author_facet Shuaishuai Zhu
Xiaobo Lv
Xiaohua Feng
Jie Lin
Peng Jin
Liang Gao
author_sort Shuaishuai Zhu
title Plenoptic Face Presentation Attack Detection
title_short Plenoptic Face Presentation Attack Detection
title_full Plenoptic Face Presentation Attack Detection
title_fullStr Plenoptic Face Presentation Attack Detection
title_full_unstemmed Plenoptic Face Presentation Attack Detection
title_sort plenoptic face presentation attack detection
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description 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.
topic Biometrics
face recognition
multi-spectral imaging
light-field imaging
url https://ieeexplore.ieee.org/document/9035405/
work_keys_str_mv AT shuaishuaizhu plenopticfacepresentationattackdetection
AT xiaobolv plenopticfacepresentationattackdetection
AT xiaohuafeng plenopticfacepresentationattackdetection
AT jielin plenopticfacepresentationattackdetection
AT pengjin plenopticfacepresentationattackdetection
AT lianggao plenopticfacepresentationattackdetection
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