Article

Arabic character recognition in a multi-processing environment

Authors:

M. AbdallaAuthors Info & Claims

ISCC '97: Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)

Page 286

Published: 01 July 1997 Publication History

Abstract

Many Arabic character recognition systems have been proposed since the early eighties. Most systems reported high recognition rates, however, they overlooked a very important factor in the process; the speed factor. A parallel Arabic character recognition system is introduced. The goal of the system is to achieve both full accuracy and high speed. This has been accomplished by integrating the character recognition process with parallel processing and distributed computing concepts. Experimental results showed that the multi-processing environment is very promising in enhancing a sequential Arabic character recognition system performance.

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Cited By

Al Hamad HAbu Zitar R(2010)Development of an efficient neural-based segmentation technique for Arabic handwriting recognitionPattern Recognition10.1016/j.patcog.2010.03.00543:8(2773-2798)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1016/j.patcog.2010.03.005
Lorigo LGovindaraju V(2006)Offline Arabic Handwriting RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2006.10228:5(712-724)Online publication date: 1-May-2006
https://dl.acm.org/doi/10.1109/TPAMI.2006.102

Index Terms

Arabic character recognition in a multi-processing environment
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Optical character recognition

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Guide Proceedings

ISCC '97: Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)

July 1997

ISBN:0818678526

Copyright © Copyright (c) 1997 Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 July 1997

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Cited By

Al Hamad HAbu Zitar R(2010)Development of an efficient neural-based segmentation technique for Arabic handwriting recognitionPattern Recognition10.1016/j.patcog.2010.03.00543:8(2773-2798)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1016/j.patcog.2010.03.005
Lorigo LGovindaraju V(2006)Offline Arabic Handwriting RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2006.10228:5(712-724)Online publication date: 1-May-2006
https://dl.acm.org/doi/10.1109/TPAMI.2006.102

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