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Face spoofing attack detection based on the behavior of noises

Citation Author(s):
Florent Retraint, Frédéric Morain-Nicolier, Agnès Delahaies
Submitted by:
Hoai Phuong Nguyen
Last updated:
2 December 2016 - 11:13am
Document Type:
Poster
Document Year:
2016
Event:
Presenters:
Nguyen Hoai Phuong
Paper Code:
1151
 

Authentication by facial recognition is actually one of the solutions to reinforce the security level
of information systems. However, face recognition systems are proven to be vulnerable to spoofing
attack. In fact, an attacker can bypass the authentification process easily by presenting in front of the
camera a copy version of a legitimate user’s face.
To make your face as your password, it is of vital importance to identify and reject the falsified faces
photos. This work gives you a novel solution which exploits the inherent features of noises in digital
images to detect falsified authentication.

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