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Directed Gaze Trajectories for Biometric Presentation Attack Detection

Ali, Asad, Hoque, Sanaul, Deravi, Farzin (2021) Directed Gaze Trajectories for Biometric Presentation Attack Detection. Sensors, 21 (4). Article Number 1394. (doi:10.3390/s21041394) (KAR id:86653)

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Official URL
https://doi.org/10.3390/s21041394

Abstract

Presentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presentation of a moving visual challenge is used to ensure that some pupillary motion is stimulated and then captured with a camera. Various types of challenge trajectories are explored on different planar geometries representing prospective devices where the challenge could be presented to users. To evaluate the system, photo, 2D mask and 3D mask attack artefacts were used and pupillary movement data were captured from 80 volunteers performing genuine and spoofing attempts. The results support the potential of the proposed features for the detection of biometric presentation attacks.

Item Type: Article
DOI/Identification number: 10.3390/s21041394
Uncontrolled keywords: biometrics, face recognition, presentation attack detection, sensor-level spoofing, gaze tracking
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
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
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Sanaul Hoque
Date Deposited: 18 Feb 2021 10:52 UTC
Last Modified: 19 Feb 2021 16:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/86653 (The current URI for this page, for reference purposes)
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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