UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1904R22


Registration ID:
227750

Page Number

812-816

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Title

Biometric Face Anti-Spoofing And Context Based Detection Techniques : A Review

Abstract

The biometric technology has shown various developments in the recent times specially in case of face and fingerprint recognition. The path of technological evolution is addressed to external attacks particular to spoofing. Spoofing is referred as presentation through biometric technology. Biometric is convenient technique for identification of people. Face spoofing is problem faced in authentication system. Spoof attacks include replay attack and printed paper attacks includes printed photo of the authenticated user. Facial biometrics is based on spoofing detection which is highly prone to spoofing attacks. Scene detection may either be positive and negative class includes spoofed faces on pictures, videos. Detection influenced by picture quality and lighting.The security issues in face recognition, due to various environmental factors and 3D masks are major threats. In this review paper, the different methods and techniques has been developed for detection of face spoofing.The accuracy of the face recognition can be improved by obtaining more face images from the same person.

Key Words

Biometric, Face Spoofing, Spoof Attacks and Security Issues.

Cite This Article

"Biometric Face Anti-Spoofing And Context Based Detection Techniques : A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.812-816, April-2019, Available :http://www.jetir.org/papers/JETIR1904R22.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Biometric Face Anti-Spoofing And Context Based Detection Techniques : A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp812-816, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R22.pdf

Publication Details

Published Paper ID: JETIR1904R22
Registration ID: 227750
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 812-816
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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