Face recognition has long been a goal of computer vision, but only in current years reliable automated face recognition has become a realistic target of biometrics research. A lot of work has been done, extensively on the most of details related to face recognition. This idea of face recognition using eigen vectors and PCA is one of the method to enhance the performance of face recognition. In this paper the PCA features for Feature extraction are used and matching is done for the face under consideration with the test image using Eigen face coefficients. The main emphasis lies in optimizing Euclidean distance. The algorithm is implemented using Matlab which an efficient tool is having powerful user interface.