FACE SPOOFING ATTACKS AND DETECTION: A REVIEW

Recently, face recognition systems have become popular and are being used heavily in mobile devices and surveillance systems due to the convenience they provide. Face biometric provides a convenient, contactless, accurate, and instruction-less way for authentication when compared to other biometrics like fingerprint and voice recognition. As the technology is evolving, face recognition is being even accurate and safer. But it's well known there are always two sides, unluckily they are even unsafe due to how easy it is to do presentation attacks like photos, videos of currently 3D prints of a registered user. And capturing photos and videos without consent makes it even easier. A lot of research is already been done for the development of a face anti-spoof system. In this paper, the authors have reviewed various face spoofing detection methods proposed by several researchers. This paper covers popular approaches made in the development of face anti-spoof systems and gives a comparative study of the same by comparing the popular methods those cover 2D (print and replay) attack detection, 3D (3D printed mask, etc) attack detection, and attempts to breach such anti-spoofing systems.