In order for face biometrics to truly gain mainstream adoption as a better mode of authentication, it is essential to distinguish between a genuine live face and an attempt to spoof the system with an artificial representation of a face.
Automated detection of presentation attacks, and specifically liveness detection, has become a necessary component of any authentication system that is based on face biometric technology where a trusted human is not supervising the authentication attempt.
This paper discusses the need for liveness, how it works, and approaches.
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