A Hybrid Recogniser for Handwritten Symbols Based on Fuzzy Logic and Self-Organizing Maps
Alex Cronin, John FitzGerald, Tahar Kechadi · Proceedings - International Conference on Tools with Artificial Intelligence, TAI · 2006
In this paper we present a hybrid approach to handwritten symbol recognition based on two different methods and principles. A fuzzy rules based recogniser and a self-organizing map recogniser are combined to form our hybrid system. These two systems complement each other well, firstly because their feature extraction techniques differ greatly, and secondly because one is a model-based and the other is a discriminative classifier. Each system generates a ranked list of outputs with associated confidence values, and these outputs are combined to produce a single result. The approach has achieved high recognition rates in testing on digits and lowercase characters from the UNIPEN database