Recognition of an individual using the unique features of human face

Abstract

Face recognition has been gaining popularity for long time in various fields of human computer interaction. Moreover face recognition technique is widely used for automatic biometric security control, document verification, criminal investigation etc. In this paper we propose a new approach of using PCA based face recognition method for human verification. PCA based method seems to be interested due to its simplicity and better accuracy. In our proposed method two stages of authentication are performed for recognizing a single candidate individual. At first stage the candidate face is matched with all stored faces and only few best matched samples are isolated to use as second stage training samples. Here in both stages PCA is used for extracting significant features of face. Our proposed approach showed 1.5% better accuracy for ORL face database and 0.52% better accuracy for Face94 database.