A novel fuzzy approach to recognition of online Persian handwriting

Author

Baghshah, Mahdieh

Author_Institution

Sharif Univ. of Technol. of Iran, Tehran, Iran

fYear

2005

fDate

8-10 Sept. 2005

Firstpage

268

Lastpage

273

Abstract

Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. This paper presents a novel fuzzy approach for recognizing online Persian (Farsi) handwriting which is also useful for multi-writer environments. In this approach, the representation of handwriting parameters is accomplished by fuzzy linguistic modeling. The representative features are selected to describe the shape of tokens. Fuzzy linguistic terms provide robustness against handwriting variations. The purposed method was run on a database of Persian isolated handwritten characters and achieved a relatively high recognition rate.

Keywords

feature extraction; fuzzy logic; handwritten character recognition; image representation; visual databases; Persian isolated handwritten character database; fuzzy approach; fuzzy linguistic modeling; fuzzy logic; handwriting feature representation; multiwriter environment; online Persian handwriting recognition; Character recognition; Data mining; Fuzzy logic; Handwriting recognition; Natural languages; Pattern recognition; Robustness; Shape; Spatial databases; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on

Print_ISBN

0-7695-2286-6

Type

conf

DOI

10.1109/ISDA.2005.13

Filename

1578796