A Comparison of Template Matching with Neural Network Approaches in the Recognition of Numeric Characters Hand-Stamped in Aluminium

This paper investigates some methods of feature extraction and recognition of numeric digits stamped in aluminium from very poor gray-scale images. Comparisons are made between the traditional template matching method and other approaches incorporating neural networks. The best methods based on Neural Networks outperformed the template matching method as expected.