<title>Rotation- and translation-invariant pattern recognition based on distance transformations</title>

Abstract

In this paper a statistical approach for pattern recognition, based on a distance transformation, will be presented. The algorism enables multiclass rotation- and translation invariant pattern recognition and can be made optionally scale invariant. Beside the theory of the algorithm we will present some practical application examples and propose a system architecture for a high speed hardware implementation including an ASIC architecture.