Abstract
Despite significant development in facial recognition (FR), current FR systems are exposed to spoofing attacks like printed photo attacks, 3D mask attacks, video replay attacks, and many more. Several anti-spoofing approaches have been proposed to assess whether the person in front of the camera is real or fake. Developing effective protection mechanisms against these threats is a challenging task. This paper gives a brief overview of various presentation attack detection (PAD) techniques, which are categorized into intrusive and non-intrusive approaches. Each technique is examined in terms of its execution, benefits, and drawbacks and also provides information on modern anti-spoofing techniques.
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