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ABSTRACT
Accurate tool for handwritten character recognition based on image compressions techniques
Image Processing,(IEEE), HCI-UK, IMA and ARISE Leader Software Engineering Research Group - SERG
The International Conference on Computational & Experimental Engineering and Sciences 2009, 9(1), 1-2. https://doi.org/10.3970/icces.2009.009.001
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The typical Optical Character Recognition (OCR) systems, regardless the character's nature, are based mainly on three stages, preprocessing, features extraction and discrimination (recognizer). Each stage has its own problems and effects on the system efficiency such as time consuming and recognition errors. In order to avoid these difficulties this talk presents new construction of OCR system without pre-processing, features extraction and classifier for any handwriting characters using standard and advanced Image Compression techniques. The proposed algorithms obtained promising results in terms of accuracy as well as in terms of time consuming.Cite This Article
APA Style
Aburas, A.A. (2009). Accurate tool for handwritten character recognition based on image compressions techniques. The International Conference on Computational & Experimental Engineering and Sciences, 9(1), 1-2. https://doi.org/10.3970/icces.2009.009.001
Vancouver Style
Aburas AA. Accurate tool for handwritten character recognition based on image compressions techniques. Int Conf Comput Exp Eng Sciences . 2009;9(1):1-2 https://doi.org/10.3970/icces.2009.009.001
IEEE Style
A.A. Aburas, “Accurate tool for handwritten character recognition based on image compressions techniques,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 9, no. 1, pp. 1-2, 2009. https://doi.org/10.3970/icces.2009.009.001
Copyright © 2009 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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