Analysis of Machine Learning algorithms used in Face Recognition Attendance System

Biometric is learning of human features and behavior. The Face Recognition system is used for security. Its purpose is to identify someone’s face with his 2D image, which involves the extraction of his facial features and recognize it regardless of aging, beard, expression or pose which is very difficult. Image Analysis and Computer Vision are the challenges of face recognition for which many techniques have been built which we are going to study in this paper. So how different algorithm work and their comparison is discussed in this paper.