Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.727502
