Impacts of PCA on Face Recognition System

Abstract

Face recognition is one of the important applications in the field of security and surveillance. Even though many methodologies are existing for feature extraction and classification, we are in need of dynamic features and classifiers to overcome the emerging challenges in the field of FRS. On analyzing the work of various researchers, PCA feature extractor is found to be more dynamic than other existing techniques. In this paper, the unique performance of PCA with novel methodologies are overviewed and its merits are highlighted.