Face Recognition Algorithms: A Review

Abstract

Due to its potential for application in various fields of face recognition, the field of research is very fast growing. In everyday life, to receive and interpret information, and to recognize familiar faces, face recognition is used. It is popular due to its simplicity and performance. In the past few years, a large number of research has been done but there are still many challenges related to face recognition. It becomes challenging to identify a mask-wearing face, especially in covid times. This paper aims to give a review of some well-known facial recognition techniques and algorithms used in the research such as Discrete Wavelet Transform, Principal Component Analysis, Linear Discriminant Analysis, Artificial Neural Network algorithms, and many others.