Structural Description to Recognizing Hand-Printed Arabic Characters Using Decision Tree Learning Techniques-Reference-Cited by-同舟云学术

Structural Description to Recognizing Hand-Printed Arabic Characters Using Decision Tree Learning Techniques

Published:2006-01 Issue:2 Volume:28 Page:129-134
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Amin A.¹,Al-Darwish N.²

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales, Sydney 052, NSW, Australia;

2. Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia;

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2006.11441796

Reference22 articles.

1. V. Govindan & A. Shivaprasad, Character recognition—A review,Pattern Recognition, 23(7), 1990, 671–683.

2. S. Mori, C.Y. Suen, & K. Yamamoto, Historical review of OCR research and development,Proc. IEEE, 80(7), 1992, 1029–1058.

3. C.Y. Suen, R. Shingal, & C.C. Kwan, Dispersion factor: A quantitative measurement of the quality of handprinted characters,Int. Conf. of Cybernetics and Society, 1977, 681–685.

4. A. Amin, Arabic character recognition, in P.S.P. Wang and H. Bunke (Eds.),Handbook on optical character recognition and document image analysis(Singapore: World Scientific Publishing, 1997), 397–420.

5. A. Amin, Off_line Arabic characters recognition: The state of the art,Pattern Recognition, 31(5), 1998, 517–530.

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