Interactive Fuzzy Model Based Recognition of Handwritten Characters

In this fuzzy model based character recognition, the features extracted from a character are used to form the fuzzy sets. Assuming these fuzzy sets have the overlapping/interactive information, this paper develops an Interactive Fuzzy Model by devising new fuzzy rules for linking them. The input fuzzy sets (formed from features) in the premise part of the new fuzzy rule are represented by the modified exponential membership functions of type-2 consisting of the structural parameters. The interactive fuzzy model includes the criterion function as part of the consequent part of the fuzzy rule. The interaction among the input fuzzy sets is handled by using the fuzzy measure theory. The criterion function is used to learn model parameters and the test function which is a component of the criterion function matches the unknown character with the reference characters in the knowledge base. Improved recognition is observed with the incorporation of interaction between the input fuzzy sets by way of Choquet fuzzy integral in the interactive fuzzy model