Comparative Analysis of PCA-based Face Recognition System using different Distance Classifiers
Kuldeep Singh Sodhi, Madan Lal · 2013
The main aim of Face Recognition system is to retrieve face images which are similar to a specific query face image in large face Databases. The retrieved face images can be used for many applications, such as photo management, Visual surveillance, Criminal face identification and searching specific faces from the internet etc. This paper discusses and compares the performance of various PCA-based face recognition techniques. Based on the performance of various parameters such as distance classifier used, the DWT level used, applying histogram equalization and selecting the number of eigenfaces, we propose a system which combines these above mentioned features into one face recognition system. From the results obtained, it is observed that the proposed system outperforms the classical PCA-based face recognition system.