Fuzzy typographical analysis for character preclassification

Author

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

Author_Institution

Inst. for Integrated Syst., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

25

Issue

10

fYear

1995

fDate

10/1/1995 12:00:00 AM

Firstpage

1408

Lastpage

1413

Abstract

This paper 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

Keywords

character recognition; edge detection; fuzzy logic; fuzzy set theory; pattern classification; baseline detection; boundary conditions; character preclassification; character recognition; decision ambiguity; fuzzy logic; fuzzy membership functions; fuzzy typographical analysis; gray scale morphology; tolerance analysis; Access protocols; Boundary conditions; Character recognition; Fuzzy logic; Packet radio networks; Throughput; Tolerance analysis; Traffic control;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

Conference_Location

10/1/1995 12:00:00 AM

ISSN

0018-9472

Type

jour

DOI

10.1109/21.464440

Filename

464440