Rotation- and translation-invariant pattern recognition based on distance transformations

In this paper a statistical approach for pattern recognition, based on a distance transformation, will be presented. The algorithm 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.