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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 3, MARCH 2022

Face Biometric Antispoofing Methods: A Survey

Priyanka S Shivol, Sampada H. K, Shamitha K. J, Saba Khan, Dr. Raghavendra R. J

DOI: 10.17148/IJARCCE.2022.11387

Abstract: Face anti-spoofing is widely used as a biometric approach. The face anti-spoofing systems are increasing due to their advantage of being convenient and contactless compared with other authentication systems. Unfortunately, the face anti-spoofing system is the most vulnerable to spoofing attacks. Hence, the need for the development of countermeasures against such presentation attacks. This paper provides detailed reviews of the different techniques available in face anti-spoofing systems. We give an outline of the research that has been accomplished in the field of face anti-spoofing.

Keywords: Face anti-spoofing, Face recognition, Presentation attack, Convolution neural network, Texture analysis, Information Security.

How to Cite:

[1] Priyanka S Shivol, Sampada H. K, Shamitha K. J, Saba Khan, Dr. Raghavendra R. J, “Face Biometric Antispoofing Methods: A Survey,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11387