We present a multilayer hierarchical neural system for automatic classifica
tion of complex contour patterns. The system consists of a neocognitron-lik
e network structure combined with self-organizing maps to automatically det
ermine feature classes. We present results showing that multilayer hierarch
ical networks are able to tolerate pattern distortion considerably better t
han standard neural network implementations.