FACIAL VERIFICATION ALONG WITH SPOOF ATTACKS.
- Department of Information Technology, Quaid-e-Awam univertersity of Engineering, Science and Technology, Nawabshah, Pakistan.
- Department of Computer Systems Engineering, Quaid-e-Awam univertersity of Engineering, Science and Technology, Nawabshah, Pakistan.
- Department of Electronic Engineering, Quaid-e-Awam univertersity of Engineering, Science and Technology, Nawabshah, Pakistan.
- Department of Computer and Communication Systems Engineering Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor Darul Ehsan, Malaysia.
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Face biometrics assumes an essential part in different authentication applications. Yet, there is a design issues exists to ensure the genuine person along with its originality being alived. For the improvement of such kind of robust framework of face verification along with anit-spoofing, the database should include three kinds of data i.e. Genuine, Fake and Imposter. In this paper, a database is designed to work for face verification and anti-spoofing technique. The Local Binary Pattern is adopted to extract the features and calculate the scores for genuine, fake and imposter attacks. This research would provide a more realistic and challenging platform for facial anti-spoofing and verification research.
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[Jherna Devi, Sajida Parveen, Nadeem Naeem and Nida Husan Abbas. (2017); FACIAL VERIFICATION ALONG WITH SPOOF ATTACKS. Int. J. of Adv. Res. 5 (May). 2264-2268] (ISSN 2320-5407). www.journalijar.com
Department of Information Technology, Quaid-e-Awam univertersity of Engineering, Science and Technology, Nawabshah, Pakistan
