A fuzzy rule-based system for structure decomposition on handwritten Chinese characters

Author

Lee, Hahn-Ming ; Huang, Chiung-Wei

Author_Institution

Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan

Volume

1

fYear

1994

fDate

2-5 Oct 1994

Firstpage

487

Abstract

In this paper, a fuzzy rule-based system for decomposing the structure of divisible handwritten Chinese characters is proposed. The decomposition is aimed at obtaining a radical that can be used as the preclassification information for handwritten Chinese character recognition (HCCR). We adopt the fuzzy set theory to deal with the recognition of the patterns. Fuzzy rules which represent the character structures are used to combine the extracted strokes into compound strokes or radicals. The capability of the system can be enhanced by increasing the fuzzy rules appropriately. An average of 95% recognition rate on the radical recognition of 542 test characters which are selected from the 100th samples of HCCRBASE was obtained

Keywords

character recognition; fuzzy set theory; knowledge based systems; Chinese character recognition; fuzzy rule-based system; fuzzy rules; fuzzy set theory; handwritten Chinese characters; structure decomposition; Character recognition; Computer architecture; Data mining; Fuzzy set theory; Fuzzy systems; Handwriting recognition; Image recognition; Knowledge based systems; Testing; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2129-4

Type

conf

DOI

10.1109/ICSMC.1994.399887

Filename

399887