Fuzzy Typographical Analysis for Character Preclassification

Shy Shyan Chen, Frank Y. Shih, Peter A. Ng

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1408-1413
Number of pages6
JournalIEEE Transactions on Systems, Man and Cybernetics
Issue number10
StatePublished - Oct 1995

All Science Journal Classification (ASJC) codes

  • General Engineering


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