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Biometric Presentation Attack Detection Using Stimulated Pupillary Movements

Ali, Asad, Hoque, Sanaul, Deravi, Farzin (2020) Biometric Presentation Attack Detection Using Stimulated Pupillary Movements. In: Int. Conf. on Imaging for Crime Detection and Prevention (ICDP-19). Int. Conf. on Imaging for Crime Detection and Prevention (ICDP-19). . pp. 80-85. , London, UK ISBN 978-1-83953-109-5. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:77734)

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Biometric systems can be subverted using presentation attack artefacts. This work presents a way to deal with the vulnerability to such spoofing attacks. In this work we propose the use of pupillary movements to detect such presentation attacks. The pupillary movements were stimulated by presentation of a moving visual challenge to ensure that some pupillary motion can be captured. Photo, 2D mask and 3D mask attack artefacts were evaluated based on data captured from 80 volunteers performing genuine attempts and spoofing attempts. The results indicate the effectiveness of the proposed pupillary movement feature to stop presentation attacks.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Presentation Attack Detection, Biometrics, Spoofing Detection, Face Recognition
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Sanaul Hoque
Date Deposited: 23 Oct 2019 08:24 UTC
Last Modified: 16 Feb 2021 14:08 UTC
Resource URI: (The current URI for this page, for reference purposes)

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