dc.contributor.author | Sengur, Abdulkadir | |
dc.contributor.author | Akhtar, Zahid | |
dc.contributor.author | Akbulut, Yaman | |
dc.contributor.author | Ekici, Sami | |
dc.contributor.author | Budak, Umit | |
dc.date.accessioned | 16/12/21 12:07 | |
dc.date.available | 16/12/21 12:07 | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-5386-6878-8 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10274 | |
dc.description.abstract | Face 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.iso | English | |
dc.publisher | Ieee | |
dc.relation.ispartof | International Conference on Artificial Intelligence and Data Processing (IDAP) | |
dc.source | 2018 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap) | |
dc.title | Deep Feature Extraction for Face Liveness Detection | |
dc.type | Proceedings Paper | |
dc.identifier.wos | WOS:000458717400082 | |