dc.contributor.advisor |
Moustafa, Mohamed |
|
dc.contributor.author |
Saad, Alia Mahmoud Khaled |
|
dc.date.accessioned |
2015-01-12T07:20:35Z |
|
dc.date.created |
2014 Fall |
en_US |
dc.date.issued |
2015-01-12 |
|
dc.identifier.uri |
http://dar.aucegypt.edu/handle/10526/4235 |
|
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 |
|