Published Paper Details:

The relevance of security concerns has increased with the ongoing 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 several forms of authentication, including facial recognition, voice recognition, SMS one-time passcodes, and fingerprint scanning. One of the key uses for image processing in still photos is face recognition. Making an automated system that can recognize faces as well as a person 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 assess the various CNN models. The deep learning CNN may be applied to facial recognition to boost authentication security. Here we are collecting the dataset of different faces. Once after preprocessing it we train the data with the CNN algorithm. After training, we will test the results using the OpenCV and also can upload the image for recognition of faces.