Description

Face authentication is now widely used, especially on mobile devices, rather than authentication using a personal identification number or an unlock pattern, due to its convenience. It has thus become a tempting target for attackers using a presentation attack. should be strong, which can make them difficult to remember, and should be changed regularly to ensure security. Personal identification numbers and unlock patterns are more convenient than passwords, but the user is still required to remember them, and people nearby may be able to steal a peek at them. The two most commonly used biometric traits for authentication are a fingerprint and the face. The system is developed the deep learning techniques such as convolutional neural network (CNN) for identifying the input face is either authorized or not authorized effectively.