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Reseach Article

Segmentation of Overlapped Handwritten Arabic Sub-Words

Published on April 2015 by Hashem Ghaleb, P. Nagabhushan, Umapada Pal
National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 2
April 2015
Authors: Hashem Ghaleb, P. Nagabhushan, Umapada Pal
c9e004b1-788e-4867-a304-7d5d3e02471f

Hashem Ghaleb, P. Nagabhushan, Umapada Pal . Segmentation of Overlapped Handwritten Arabic Sub-Words. National conference on Digital Image and Signal Processing. DISP2015, 2 (April 2015), 24-29.

@article{
author = { Hashem Ghaleb, P. Nagabhushan, Umapada Pal },
title = { Segmentation of Overlapped Handwritten Arabic Sub-Words },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 2 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 24-29 },
numpages = 6,
url = { /proceedings/disp2015/number2/20486-3018/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Hashem Ghaleb
%A P. Nagabhushan
%A Umapada Pal
%T Segmentation of Overlapped Handwritten Arabic Sub-Words
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 2
%P 24-29
%D 2015
%I International Journal of Computer Applications
Abstract

Arabic script is cursive in both handwritten and printed form. Segmentation of Arabic script- especially handwritten- is a very challenging task. Many difficulties arise due to the inherent characteristics of Arabic writing such as the overlapping of Arabic sub-words wherein the sub-words share the same vertical space, and vertical ligatures wherein characters are stacked upon each other in a word. In this paper, an algorithm to resolve the overlapping of handwritten Arabic sub-words is introduced. The proposed algorithm is based on pushing strategy; sub-words are pushed in order to obtain a clear vertical cut separating the sub-words. The proposed algorithm was tested using handwritten text selected from four different datasets and the results are quite promising.

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Index Terms

Computer Science
Information Sciences

Keywords

Arabic Sub-words Overlapping Arabic Sub-words Resolving Overlapped Arabic Sub-words.