logo Idiap Research Institute        
 [BibTeX] [Marc21]
On the use of client identity information for face anti-spoofing
Type of publication: Journal paper
Citation: Chingovska_IEEETIFSSI_2015
Publication status: Published
Journal: IEEE Transactions on Information Forensics and Security, Special Issue on Biometric Anti-spoofing
Volume: 10
Number: 4
Year: 2015
Pages: 787-796
Abstract: With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing systems is to classify biometric evidence based on features discriminating between real accesses and spoofing attacks. For the first time, to the best of our knowledge, this paper studies the amount of client-specific information within these features and how it affects the performance of anti-spoofing systems. We make use of this information to build two client-specific anti-spoofing solutions, one relying on a generative and another one on a discriminative paradigm. The proposed methods, tested on a set of state-of-the-art anti- spoofing features for the face mode, outperform the client- independent approaches with up to 50% relative improvement and exhibit better generalization capabilities on unseen types of spoofing attacks.
Keywords: Biometric Verification, Counter-Measures, Counter-Spoofing, Liveness Detection, Replay, Spoofing Attacks
Projects Idiap
Authors Chingovska, Ivana
Anjos, André
Added by: [UNK]
Total mark: 0
  • Chingovska_IEEETIFSSI_2015.pdf