In this paper the results of a study on the accuracy of a fuzzy logic-based single-stroke character recognizer are presented by refining various parameter values, such as resolution of the fuzzy grid and the minimum distance between sampled points. The symbol set is a modified version of Palm's Graffiti single-stroke alphabet and it contains 26 different symbols. Each symbol is represented by a single fuzzy rule. The rule base was determined by a subset of the collected samples. 99.4% recognition rate has been achieved with the initial rule base, without training. With the revised parameter values the accuracy is close or even slightly beyond the results of other academic or commercial systems. © 2012 Springer-Verlag Berlin Heidelberg.