Vol. 5 (05) pp. 2264-2268 DOI: 10.21474/IJAR01/5291

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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Abstract

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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How to Cite This Article

Jherna Devi, Sajida Parveen, Nadeem Naeem and Nida Husan Abbas. (2017); FACIAL VERIFICATION ALONG WITH SPOOF ATTACKS., International Journal of Advanced Research (IJAR), 5 (05), 2264-2268, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/5291

Corresponding Author

Jherna Devi
Department of Information Technology, Quaid-e-Awam univertersity of Engineering, Science and Technology, Nawabshah, Pakistan

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References

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