Facial Recognition Using Eigenfaces Approach

Abstract

Face recognition has been researched extensively since the early 1950s and it is still an evolving domain for research. However, this application is relatively new in this country as compared to other biometric identifications. This paper seeks to find out the success rate of detection and recognition of the human faces using the eigenfaces method of the principal component analysis. It was conducted using the PCA algorithm on eigenfaces on 30 students using different images stored in a training database. From the experiment conducted, the PCA eigenfaces approach is able to deliver and produce high accuracy results.