A recognition-based Arabic optical character recognition system

Author

Cheung, A. ; Bennamoun, M. ; Bergmann, N.W.

Author_Institution

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

Volume

5

fYear

1998

fDate

11-14 Oct 1998

Firstpage

4189

Abstract

Optical character recognition systems improve human-machine interaction and are widely used in many government and commercial departments. After forty years of intensive research, OCR systems for most scripts are well developed. However, not for Arabic script. Since Arabic is a popular script, Arabic OCR systems should have great commercial value. Thus a recognition-based Arabic OCR system is proposed in this paper. It consists of the image acquisition, preprocessing, segmentation, character fragmentation, combination of character fragments, feature extraction, and classification. A signal is fed back to improve and determine the segmentation/recognition result. The system has been implemented and it has 90% recognition accuracy with a 20 chars/sec recognition rate

Keywords

optical character recognition; Arabic OCR systems; character fragment combination; character fragmentation; classification; feature extraction; human-machine interaction; image acquisition; image preprocessing; image segmentation; recognition-based Arabic optical character recognition system; signal feedback; Australia; Character recognition; Feature extraction; Government; Image segmentation; Man machine systems; Optical character recognition software; Satellite navigation systems; Space technology; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.727502

Filename

727502