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Spoofing attempt detection using gaze colocation

Ali, Asad, Deravi, Farzin, Hoque, Sanaul (2013) Spoofing attempt detection using gaze colocation. In: Biometrics Special Interest Group (BIOSIG), 2013 International Conference, 5-6 Sept 2013, Darmstadt, Germany. (KAR id:35914)

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Spoofing attacks on biometric systems are one of the major impediments to their use for secure unattended applications. This paper presents a novel method for face liveness detection by tracking the gaze of the user with an ordinary webcam. In the proposed system, an object appears randomly on the display screen which the user is required to look at while their gaze is measured. The visual stimulus appears in such a way that it repeatedly directs the gaze of the user to specific points on the screen. Features extracted from images captured at these sets of colocated points are used to estimate the liveness of the user. A scenario is investigated where genuine users track the challenge with head/eye movements whereas the impostors hold a photograph of the target user and attempt to follow the stimulus during simulated spoofing attacks. The results from the experiments indicate the effectiveness of the gaze colocation feature in detecting spoofing attack

Item Type: Conference or workshop item (Paper)
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 01 Nov 2013 12:20 UTC
Last Modified: 16 Feb 2021 12:48 UTC
Resource URI: (The current URI for this page, for reference purposes)
Deravi, Farzin:
Hoque, Sanaul:
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