Fuzzy classification of handwritten characters

We present EYE, a fuzzy logic-based classifier for offline recognition of isolated handwritten characters. EYE uses a new linguistic classification method based on the linguistic description of the shape of the character. The linguistic terms are derived from a fuzzy partition of the space occupied by the character. EYE classifies characters written by any writer. A small scale application of the method in which 26 lower case cursive characters written by 30 and 20 different writers were used as training and test sets, respectively, yielded 68.2% recognition rate.