A FUZZY STATISTICAL RULE GENERATION METHOD FOR HANDWRITING RECOGNITION

This paper presents a statistical approach for rule-base generation of handwriting recognition. The proposed method integrates the heuristic feature selection with the statistical evaluation and thus improves t he performance of the rule generation as well as of the fuzzy handwrit ing recognition system. Fuzzy statistical measures are employed to ide ntify relevant features from a given large handwriting database. First an automatic rule-base mechanism is presented. The reduce the time ne eded for this generation mechanism an additional heuristic feature sel ection step is introduced. Tests show that this generated rule-base im proved the recognition results over previous approaches.