A vary approach to face recognition veritable mechanisms for Android mobile against spoofing

Authentication is the process of identifying and verifying someone, who it claims to be known as user. The increasing popularity of smart mobile phones provides user to store personal data and user information. It is necessary to ensure the confidential access of the mobile phone to its user. Currently, Face Unlock is the biometric user authenticating system widely available in mobile phone. However, user´s face image for authentication could not be considered as a secure. Since we faced the problem of 2D face spoofing attacks by displaying user photo in front of the camera. In this paper, we analyze on current methods of face recognition for authentication on mobile phone and present a novel approach for Face Recognition system to be more secure and convenient use. We perform by acquiring with various angular of face information from user and analyze the liveness detection of user by comparing with biometric template of data acquired in a database. The results to the user face recognition are promising in liveness detection and reliable against spoofing.