Improved PCA Based Face Recognition System
Face recognition is a computer based application which detects the faces of different persons for authentication and various other purposes. It has separate applications from the fingerprint and iris recognitions. There are various successful techniques are purposed so far as holistical methods and Discrete Cosine Transform (DCT). In this paper, the authors build a simple and fast face recognition system on the basis of feature extraction using Principal Component Analysis (PCA). This paper explains how the faces, having some variations like facial expressions, hairstyles and viewing conditions w.r.t the original faces reserved in the database, are detected with improved accuracy and success rate.