Deep Learning based Face Liveness Detection in Videos

dc.contributor.author	Akbulut, Yaman
dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Budak, Umit
dc.contributor.author	Ekici, Sami
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2017
dc.identifier.isbn	978-1-5386-1880-6
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10402
dc.description.abstract	The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be robust against spoof face attacks. I
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	2017 International Artificial Intelligence and Data Processing Symposium (IDAP)
dc.source	2017 Internatıonal Artıfıcıal Intellıgence And Data Processıng Symposıum (Idap)
dc.title	Deep Learning based Face Liveness Detection in Videos
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000426868700042

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