<title>Symmetry recognition in images</title>

Abstract

This paper is concerned with the problem of separation of data, by a Neural based computer recognition system. To this end certain types of data which are 'tricky' are studied in order to see if they can be separated (i.e. classified) by a neural network or by a Kohonen based classifier. It is shown that there exist data which cannot simply be separated by a nearest distance classifier and yet can be treated well by a neural network, these correspond to the symmetry problem in images.