Fuzzy ring data for invariant handwritten Chinese character recognition

An invariant handwritten Chinese character recognition system is proposed. Characters can be in arbitrary location, scale, and orientation. Five invariant features are employed in this study. The first four features are used for preclassification to reduce matching time. The last feature, ring data, constructs ring-data vectors to characterize character samples and constructs weighted ring-data matrices to characterize characters to further reduce matching time. Fuzzy membership functions are defined based on these two characteristics to match characters.