Face Detection and Face Recognition

Abstract

Face recognition software has evolved into a critical component of modern technology. It is a very important part of the biometric information system. This technology is easy to use and has a broader working range than other biometric data systems. some techniques are combined in the system for the detection of the face and its recognition. Detection of the face is done on photos captured from a live feed or any other source. The system is then upgraded to include a Neural Network-based face classification approach. A database is used to test the system. Within certain constraints, the system performs well enough to distinguish faces. In real-time acquired photos, the system can also detect and distinguish several faces. There are various reasons for the recent surge in interest in facial recognition, including security concerns and digital identity verification. The research examines the face detection and recognition processes using both real-time and picture data. Face recognition system, Face detection system, recognition, facial feature extraction, Real time acquired image, multiple face detection, and recognition are some of the terms used in this paper.