Analysis and Application of a Self-organising Image Recognition Neural Network

This paper investigates the effect of various feature extraction methods on the recognition ability of a self-organising neural network called PARADISE when applied to the problems of the classification of face images and hand written character recognition. The feature extraction methods investigated are, oriented Gaussian filters, Gabor filters and oriented Laplacian of Gaussian (LoG) filters. The recognition results for the two applications are shown to compare favourably with other techniques designed specifically for the two tasks.