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Spoofing attempt detection using gaze colocation

dc.contributor.authorAli, Asad
dc.contributor.authorDeravi, Farzin
dc.contributor.authorHoque, Sanaul
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-10-31T12:33:56Z
dc.date.available2018-10-31T12:33:56Z
dc.date.issued2013
dc.description.abstractSpoofing 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.en
dc.identifier.isbn978-3-88579-606-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17663
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2013
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-212
dc.titleSpoofing attempt detection using gaze colocationen
dc.typeText/Conference Paper
gi.citation.endPage146
gi.citation.publisherPlaceBonn
gi.citation.startPage135
gi.conference.date04.-06. September 2013
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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