CNN Based Image Recognition System using Deep Learning

Abstract

Face recognition systems are getting a lot of attention in three main areas: security, surveillance, and user authentication. This is because they are very good at identifying people. Convolutional Neural Networks (CNNs) make facial recognition systems much more efficient and accurate. This is because they have a long history of being good at classifying images. The study suggests using a convolutional neural network (CNN) image face recognition system that uses deep learning to find faces in pictures and compare them to templates that are already there. We compare the proposed system to a number of existing face recognition methods and test it on typical face datasets. These results suggest that convolutional neural networks (CNNs) could be useful for recognising faces in the real world since they can process information in real time, are more accurate, and are more resistant to damage.