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Liveness Detection Using Gaze Collinearity

Ali, Asad and Deravi, Farzin and Hoque, Sanaul (2012) Liveness Detection Using Gaze Collinearity. In: 2012 Third International Conference on Emerging Security Technologies. IEEE, pp. 62-65. ISBN 978-1-4673-2448-9. E-ISBN 978-0-7695-4791-6. (doi:10.1109/EST.2012.12) (KAR id:35881)

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Abstract

This paper presents a liveness detection method based on tracking the gaze of the user of a face recognition system using a single camera. The user is required to follow a visual animation of a moving object on a display screen while his/her gaze is measured. The visual stimulus is designed to direct the gaze of the user to sets of collinear points on the screen. Features based on the measured collinearity of the observed gaze are then used to discriminate between live attempts at responding to this challenge and those conducted by âimpostorsâ holding photographs and attempting to follow the stimulus. An initial set of experiments is reported that indicates the effectiveness of the proposed method in detecting this class of spoofing attacks.

Item Type: Book section
DOI/Identification number: 10.1109/EST.2012.12
Uncontrolled keywords: face; cameras; face recognition; security; visualization; feature extraction; conference
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 12:39 UTC
Last Modified: 16 Feb 2021 12:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35881 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
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