<title>Framework for the evaluation and selection of algorithms for pattern recognition problems</title>

Abstract

The paper presents a methodology to evaluate and compare different algorithms for general pattern recognition problems. An abstract framework for considering the selection of algorithms is presented and used for the character recognition problem. It includes a problem space, an algorithm space, a subset of algorithms from which selection is to be made, and measures of the performance of algorithms. Numerical experiments are run to evaluate some statistical algorithms for the character recognition problem.