Face Recognition using Canny Edge Detector and KL Transform

Abstract: This paper mainly focuses on the face recognition using edge information and principle component analysis. The edge information is extracted using canny edge detector and further this edge information is used to obtain principle components. This method is innovative as combination of edge information and Eigen images are used for face recognition. The results of this experimentation are evaluated using distance classifiers and are encouraging and will provide guidance for future research work in the field of image processing.

Keywords: Principal Component Analysis, Canny Edge Detector, Distance Classifiers