Fuzzy logic in the recognition of machine printed Arabic characters

Author

Bouslama, Faouzi ; Kishibe, Hiroki

Author_Institution

Fac. of Inf. Sci., Hiroshima City Univ., Japan

Volume

3

fYear

1999

fDate

1999

Firstpage

1150

Abstract

This paper introduces a new recognition approach of machine printed Arabic characters. An input character is segmented into a main and a complement part. The features for classification are extracted from the number of complement strokes and the geometry of the main character and their projection profiles. The features are modeled by fuzzy linguistic values which provide a more expressive system for the characters. A set of fuzzy rules is used for classification. The system is tested on two fonts and the recognition rates achieved are very high

Keywords

document image processing; feature extraction; fuzzy logic; image classification; image segmentation; optical character recognition; character segmentation; classification; feature extraction; fonts; fuzzy linguistic values; fuzzy logic; fuzzy rules; geometry; machine printed Arabic character recognition; projection profiles; Character recognition; Data mining; Feature extraction; Fuzzy logic; Fuzzy sets; Fuzzy systems; Geometry; Neural networks; Testing; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-5871-6

Type

conf

DOI

10.1109/ICONIP.1999.844698

Filename

844698