Face recognition has received substantial attention from both research communities and the market, but still remained very challenging in real-time applications. This texture mapping of the face images to be morphed to a standard shape. Triangulation of face images with face key points image-averaging technique to derive abstract representations of known faces. This standard shape improves the probability of recognition of faces. Glasgow Face Matching Test (GFMT) and Kernel PCA on image averages appear to preserve face information. Thus the approach with KPCA and GFMT has improvement in efficiency with constraints.