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dc.contributor.authorSengur, Abdulkadir
dc.contributor.authorAkhtar, Zahid
dc.contributor.authorAkbulut, Yaman
dc.contributor.authorEkici, Sami
dc.contributor.authorBudak, Umit
dc.date.accessioned16/12/21 12:07
dc.date.available16/12/21 12:07
dc.date.issued2018
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10274
dc.description.abstractFace recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing or presentation attacks, where
dc.language.isoEnglish
dc.publisherIeee
dc.relation.ispartofInternational Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source2018 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap)
dc.titleDeep Feature Extraction for Face Liveness Detection
dc.typeProceedings Paper
dc.identifier.wosWOS:000458717400082


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