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Gait biometrics under spoofing attacks: an experimental investigation

[+] Author Affiliations
Abdenour Hadid

Northwestern Polytechnical University, School of Electronics and Information, 127 Youyi Xilu, Xi’an, Shaanxi 710072, China

University of Oulu, Center for Machine Vision Research, P.O. Box 4500, Oulu 90014, Finland

Mohammad Ghahramani, Vili Kellokumpu

University of Oulu, Center for Machine Vision Research, P.O. Box 4500, Oulu 90014, Finland

Xiaoyi Feng

Northwestern Polytechnical University, School of Electronics and Information, 127 Youyi Xilu, Xi’an, Shaanxi 710072, China

John Bustard, Mark Nixon

University of Southampton, School of Electronics and Computer Science, Faculty of Physical Sciences and Engineering, Southampton SO17 1BJ, United Kingdom

J. Electron. Imaging. 24(6), 063022 (Dec 29, 2015). doi:10.1117/1.JEI.24.6.063022
History: Received March 30, 2015; Accepted November 30, 2015
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Abstract.  Gait is a relatively biometric modality which has a precious advantage over other modalities, such as iris and voice, in that it can be easily captured from a distance. Although it has recently become a topic of great interest in biometric research, there has been little investigation into gait spoofing attacks where a person tries to imitate the clothing or walking style of someone else. We recently analyzed for the first time the effects of spoofing attacks on silhouette-based gait biometric systems and showed that it was indeed possible to spoof gait biometric systems by clothing impersonation and the deliberate selection of a target that has a similar build to the attacker. To gain deeper insight into the performance of current gait biometric systems under spoofing attacks, we provide a thorough investigation on how clothing can be used to spoof a target and evaluate the performance of two state-of-the-art recognition methods on a gait spoofing database recorded at the University of Southampton. Furthermore, we describe and evaluate an initial solution coping with gait spoofing attacks. The obtained results are very promising and point out interesting findings which can be used for future investigations.

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Citation

Abdenour Hadid ; Mohammad Ghahramani ; Vili Kellokumpu ; Xiaoyi Feng ; John Bustard, et al.
"Gait biometrics under spoofing attacks: an experimental investigation", J. Electron. Imaging. 24(6), 063022 (Dec 29, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.063022


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