Human-Computer Interaction methodology to attain Face Liveness Detection

The objective of this paper is to propose a spoof-free Face Liveness Detection system with an active approach that uses the challenge-response methodology which detects the motions and gestures of the system user, thereby differentiating a real face from a photo. With the ever-escalating volumes of digital data, systems that pertains to having unsupervised authentication procedures and are hence vulnerable to cyberattacks like identity thefts has led to serious security concerns. Face liveness detection assures the user’s actual presence and validates their identities. Fraudulent reproduction of 2D facial images that were intended to spoof the system would be declined access and thus effectively protects privacy rights of the legitimate user. Review of the many scholarly pieces of the literatures revealed works of some of the existing systems that used or suggested various active and passive techniques to test liveness; Human-Computer Interaction (HCI)-based approach proving to demonstrate substantially high accuracy amongst them. The aim is to create a system that is his highly accurate, efficient and can be integrated with the existing systems.