Implementation of a p-transformer for angle-free face recognition system

Principal component analysis is a powerful statistical tool for compact representation of a class of random images. It has also been used in the face recognition field so called eigenface methods. Even though the eigenface method has been successful on up-right full-face images, it is still tricky on rotated or tilted faces. This problem has been solved in this paper by introducing a simple image transformation technique called p-transformation. VLSI behavioral simulation of image rotator is done to add more speed to the faces recognition process and to demonstrate the feasibility of hardware implementation. We can apply this fast and effective technique to medical MRI images for fast rotation and reconstruction