Neural network system for face recognition

An image recognition method based on neural network system is proposed. This method uses the permutative coding technique for image preprocessing and neural classifier for image recognition. We have proposed the permutative coding technique to make recognition process invariant to small displacements of the object in the image. The system was tested on the ORL database. This database contains 400 face images of 40 persons. 200 images are used for training and 200 for recognition. The error rate of 0.1% for face recognition was obtained. This method was tested also with 40, 80, 120 and 160 images for system training and the rest images for recognition. The error rates 16.1%, 7.09%, 2.15% and 1.4% were obtained respectively.