Face Recognition Algorithms: A Review

Abstract

Facial recognition is the method by which an individual's identity is determined by a facial image. With the support of this method, it is potential to use the face image of the person to document it in any safety system. Facial recognition methods for static images can approximately be classified into comprehensive approaches to comprehensive and feature-based approaches. The comprehensive systems use the whole raw face image as input, while feature-based approaches utilize limited face features and use their regular and decorative properties [1]. A huge number of facial recognition systems have been advanced in the past periods. In this paper, we review a varied range of approaches used to identify facial recognition, which contains LDA, PCA, SVM, and ICA.