Improvement of face recognition system based on linear discrimination analysis and support vector machine

Abstract EN

Face recognition is one of the most important research fields in many of applications and it is used in various domains including human computer interaction, security systems and personal identification.

Many of face recognition systems have been developed for decades.

In general, the accuracy of the face recognition system is determined by the accuracy of the method that is used to extract features and the accurate of the classification method.

This paper introduces an improvement of face recognition system by using Linear Discrimination Analysis and Support Vector Machine.

Two types of experiments off-line and on-line are done.

In off-line experiment, the Olivetti Research Laboratory face database is used and in on-line experiment, DVD Maker 2 adapter is used to capture live image from digital camera, and digitalize it to be compared with training database.

The Comparison with Linear Discriminate Analysis and Artificial Neural Network is implemented.

The results show that the proposed method gives better results in off-line experiment than previous methods in terms of recognition rate.