FACIAL RECOGNITION USING CONVOLUTION NEURAL NETWORK

FACIAL RECOGNITION USING CONVOLUTION NEURAL NETWORK

Chilakala sri sainath reddy, Chitikena Varun, Chinthakuntla Varshik , Sushma Chaluvadi, Dr.G.Gifta Jerith

Dept of Computer Science Engineering(AI&ML)
Malla Reddy University
Hyderabad, Telangana

Abstract—The importance of continuous security development of technology due to the ongoing security challenges of computer technology. The expansion of human dependence on network technology. User authentication is required to prevent attacks and vulnerabilities. Facial recognition, voice recognition, one-time SMS password, and fingerprint scanning are a few types of authentication. Face recognition is one of the most important aspects of image processing in both still and moving images. Creating a technology that can distinguish faces and people is difficult. Analyzing the usefulness of CNNs, explaining the various data used by face recognition, and analyzing different CNN models are the main objectives of this study. Deep learning of facial recognition technology CNN can make the recognition process more accurate. The model achieved a learning accuracy of 93.72%.

Keywords - Deep Learning, Face Recognition, Deep Learning Networks, CNN