NDLI: Face liveness detection for combating the spoofing attack in face recognition

Content Provider	IEEE Xplore Digital Library
Author	Junyan Peng Chan, P.P.K.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China (Junyan Peng; Chan, P.P.K.)
Abstract	The spoofing attack, in which the attacker disguises himself or herself as an authenticated user by showing the user's photographs or video clips before the camera, is a common adversarial attack in face recognition. To ensure the security of the system, face liveness detection is carried out to distinguish the images captured from a live face from those from a forged face. In this paper, we propose a face liveness detection method based on the High Frequency Descriptor to combat the spoofing attack. The additional illumination is added, which can raise the energy of high frequency components of a real face by exposing more details of the hair and skin, and lower it by causing a glisten on the planar surface. The difference of the energy of high frequency components between images with and without the illumination is calculated. Experimental results show that our method outperforms the original method and has robustness when the resolution of the attack media is high.
Starting Page	176
Ending Page	181
File Size	5562095
Page Count	6
File Format	PDF
ISBN	9781479942121
ISSN	21585695
e-ISBN	9781479942114
DOI	10.1109/ICWAPR.2014.6961311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face liveness detection Image resolution Fourier transforms Accuracy Databases Face recognition Lighting Fourier spectrum Face Anti-spoofing Biometrics identification
Content Type	Text
Resource Type	Article

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