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Authors: Kim Trong Nguyen 1 ; Cathel Zitzmann 1 ; Florent Retraint 2 ; Agnès Delahaies 3 ; Frédéric Morain-Nicolier 3 and Hoai Phuong Nguyen 3

Affiliations: 1 EPF Graduate School of Engineering, France ; 2 LM2S - ICD - Troyes University of Technology, France ; 3 University of Reims Champagne-Ardenne, France

ISBN: 978-989-758-282-0

Keyword(s): Digital Forensics, Spoofing Attack, 3D Reconstruction, Facial Recognition, Motion Sensors.

Abstract: Face recognition system is proven to be vulnerable to face spoofing attack. Many approaches have been proposed in the literature to resolve this vulnerability. This paper proposes a novel method dedicated to mobile systems. The approach asks users to capture a video by moving the device around their face. Thanks to a 3D reconstruction process, the shape of the object is estimated from the video. By evaluating this 3D shape, we can rapidly eliminate attacks in which a photo of a legitimate face is used. Then, the camera’s poses estimated from the 3D reconstruction is used to be compared to the data captured from the device’s motion sensors. Experimental results on a real database show the efficiency of the proposed approach.

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Paper citation in several formats:
Nguyen, K.; Zitzmann, C.; Retraint, F.; Delahaies, A.; Morain-Nicolier, F. and Nguyen, H. (2018). Face Spoofing Detection for Smartphones using a 3D Reconstruction and the Motion Sensors.In Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-282-0, pages 286-291. DOI: 10.5220/0006602202860291

@conference{icissp18,
author={Kim Trong Nguyen. and Cathel Zitzmann. and Florent Retraint. and Agnès Delahaies. and Frédéric Morain{-}Nicolier. and Hoai Phuong Nguyen.},
title={Face Spoofing Detection for Smartphones using a 3D Reconstruction and the Motion Sensors},
booktitle={Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2018},
pages={286-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006602202860291},
isbn={978-989-758-282-0},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Face Spoofing Detection for Smartphones using a 3D Reconstruction and the Motion Sensors
SN - 978-989-758-282-0
AU - Nguyen, K.
AU - Zitzmann, C.
AU - Retraint, F.
AU - Delahaies, A.
AU - Morain-Nicolier, F.
AU - Nguyen, H.
PY - 2018
SP - 286
EP - 291
DO - 10.5220/0006602202860291

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