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dc.contributor.advisor Moustafa, Mohamed Saad, Alia Mahmoud Khaled 2015-01-12T07:20:35Z 2014 Fall en_US 2015-01-12
dc.description.abstract 2D facial identification has attracted a great amount of attention over the past years, due to its several advantages including practicality and simple requirements. However, without its capability to recognize a real user from an impersonator, face identification system becomes ineffective and vulnerable to spoof attacks. With the great evolution of smart portable devices, more advanced sorts of attacks have been developed, especially the replayed videos spoofing attempts that are becoming more difficult to recognize. Consequently, several studies have investigated the types of vulnerabilities a face biometric system might encounter and proposed various successful anti-spoofing algorithms. Unlike spoofing detection for passive or motionless authentication methods that were profoundly studied, anti-spoofing systems applied on interactive user verification methods were broadly examined as a potential robust spoofing prevention approach. This study aims first at comparing the performance of the existing spoofing detection techniques on passive and interactive authentication methods using a more balanced collected dataset and second proposes a fusion scheme that combines both texture analysis with interaction in order to enhance the accuracy of spoofing detection. en_US
dc.format.extent 72 p. en_US
dc.format.medium theses en_US
dc.language.iso en en_US
dc.rights Author retains all rights with regard to copyright. en
dc.subject anti-spoofing en_US
dc.subject head pose tracking en_US
dc.subject face identification en_US
dc.subject biometric identification en_US
dc.subject authentication en_US
dc.subject spoofing detection en_US
dc.subject motion tracking en_US
dc.subject interaction en_US
dc.subject interactive authentication en_US
dc.subject passive authentication en_US
dc.subject.lcsh Thesis (M.S.)--American University in Cairo en_US
dc.subject.lcsh Image analysis.
dc.subject.lcsh Biometric identification.
dc.subject.lcsh Parody films.
dc.subject.lcsh Interactive computer graphics.
dc.subject.lcsh Interactive computer systems.
dc.title Anti-spoofing using challenge-response user interaction en_US
dc.type Moving Image en_US
dc.subject.discipline Computer Science en_US
dc.rights.access This item is available en_US
dc.contributor.department American University in Cairo. Dept. of Computer Science and Engineering en_US
dc.description.irb American University in Cairo Institutional Review Board approval has been obtained for this item. en_US
dc.contributor.committeeMember Khalil, Awad
dc.contributor.committeeMember Khalil, Mahmoud

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  • Theses and Dissertations [1866]
    This collection includes theses and dissertations authored by American University in Cairo graduate students.

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