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Biometric Liveness Detection Using Gaze Information

Ali, Asad (2015) Biometric Liveness Detection Using Gaze Information. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:50524)

Language: English
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This thesis is concerned with liveness detection for biometric systems and in particular for face recognition systems. Biometric systems are well studied and have the potential to provide satisfactory solutions for a variety of applications.

The results of the evaluations indicate that gaze-based features can be used to discriminate between genuine and imposter. Combining features through feature selection and score fusion substantially improved the performance of the proposed features.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Deravi, Farzin
Thesis advisor: Hoque, Sanaul
Uncontrolled keywords: biometrics, liveness, spoofing, presentation attacks.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Users 1 not found.
Date Deposited: 17 Sep 2015 11:00 UTC
Last Modified: 16 Feb 2021 13:28 UTC
Resource URI: (The current URI for this page, for reference purposes)
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