A neural network position independent multiple pattern recogniser

This paper describes a neural network model for computer vision which has position invariant properties. The network is designed to form part of a more comprehensive vision system. The purpose of the network is to classify features in a position independent manner and retain the spatial relationship between detected features. Inherent parallelism in the… CONTINUE READING