The University of Southampton
University of Southampton Institutional Repository

Gait biometrics under spoofing attacks: an experimental investigation

Gait biometrics under spoofing attacks: an experimental investigation
Gait biometrics under spoofing attacks: an experimental investigation
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.
1017-9909
063022
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d
Gharamani, Mohammad
4807b0b0-2650-4f5e-b94c-e57885c3bca2
Bustard, John
8fa23e3b-8594-4c87-81c4-a77e774c8c0b
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d
Gharamani, Mohammad
4807b0b0-2650-4f5e-b94c-e57885c3bca2
Bustard, John
8fa23e3b-8594-4c87-81c4-a77e774c8c0b
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Hadid, Abdenour, Gharamani, Mohammad, Bustard, John and Nixon, Mark (2015) Gait biometrics under spoofing attacks: an experimental investigation. Journal of Electronic Imaging, 24 (6), 063022. (doi:10.1117/1.JEI.24.6.063022).

Record type: Article

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.

Full text not available from this repository.

More information

Published date: 29 December 2015

Identifiers

Local EPrints ID: 426322
URI: http://eprints.soton.ac.uk/id/eprint/426322
ISSN: 1017-9909
PURE UUID: a64e0e3f-a8a6-47ed-ab1a-8e9561472c7a
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 22 Nov 2018 17:30
Last modified: 07 Oct 2020 02:36

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×