IMPLEMENTING FACE RECOGNITION USING FEATURE EXTRACTION

Abstract

Face Recognition has emerged as one of the important area of research in Computer Vision. The difficulty faced by the researchers is that the instances of Faces vary with both motion and appearance. Thus, in this paper a novel approach for recognizing various Faces is proposed where continuous video sequences of the Faces have been considered. The proposed system comprises of three stages: Pre-processing stage, Feature Extraction and Classification. Pre-processing stage includes skin filtering,. Eigen values and Eigen Vectors were considered for feature extraction stage and finally Eigen value weighted Euclidean distance is used to recognize the Face. It deals with bare hands, thus allowing the user to interact with the system in natural way. We have considered 10 different faces in the video sequences and attained a success rate of 71%.