Implementation of a statistical based Arabic character recognition system

Author

Cheung, Anthony ; Bennamoun, Mohammed ; Bergmann, Neil W.

Author_Institution

Space Centre for Satellite Navigation, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

2

fYear

1997

Firstpage

531

Abstract

Character recognition systems have contributed tremendously to the automation of data entry processes. Arabic characters are widely used in Arabic countries. If optical character recognition (OCR) systems are available for Arabic characters, they will be very useful and will have a high commercial value. Therefore, we have implemented a statistically based Arabic OCR system and present the techniques used in this paper. It consists of image acquisition, preprocessing, segmentation, feature extraction and statistical classification. The developed system is window-based software that can interact with a scanner and can recognize a single font of Arabic script with 85% accuracy at about 16 characters/second

Keywords

feature extraction; image classification; image segmentation; optical character recognition; statistical analysis; character recognition system; data entry; feature extraction; font; image acquisition; preprocessing; segmentation; statistical classification; statistically based Arabic OCR system; window-based software; Australia; Automation; Character recognition; Feature extraction; Handwriting recognition; Humans; Image segmentation; Optical character recognition software; Satellite navigation systems; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.648261

Filename

648261