Fuzzy Typographical Analysis for Character Preclassification

This correspondence presents a fuzzy-logic approach for analyzing typographical structures of textual blocks in order to be used for character preclassification. An efficient baseline detection method embedded with tolerance analysis is developed for locating precisely the baseline. Fuzzy logic is taken into account when the decision ambiguity of typographical categorization is occurred. The constraints on the fuzzy membership functions are formulated. Their boundary conditions are considered to preserve the continuity. An improved character recognition rate can be achieved by means of the typographical categorization.