Face Recognition Using CNN

Abstract

The importance of security issues has increased with the on-going advancement of computer technology and the increasing reliance of humans on network technology. To prevent attacks and security flaws, user authentication is essential. There are various forms of authentication, including facial recognition, voice recognition, SMS one-time passwords, and fingerprint scanning. One of the crucial uses for image processing in both still photos and video is face recognition. Making an automated system that can recognise faces as well as a human is a real task. This paper's primary goals are to examine the value of CNN, describe the many datasets used in face recognition systems, and analyse the various CNN models. The deep learning CNN can be applied to face recognition to boost authentication security.