A novel face recognition system for plastic surgery face database using single eigen value

Abstract

The advance development in the field of medicine are quite appreciable in one way and a technical hazard in other way to human society. The plastic surgery face treatments that are availed by the people to beautify themselves, given to the needed patients, or misused by the intruders are the latest huddles for the reliable Face Recognition System (FRS). In this paper, a novel approach of extracting a Single Eigen Value(SEV) from plastic surgery database and classified with the standard classifiers are discussed. The experimental results of the proposed model on Plastic surgery database, shows that the SEV feature with 1-NN rule classifier gives an outstanding performance when compared with the existing FRS models that comprises the plastic surgery challenge.