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.
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DOI:
10.17148/IJARCCE.2022.11387
