Title :
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
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;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.844698
