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A New Approach to Segmentation of Persian Cursive Script based on Adjustment the Fragments

by Mir Mohammad Alipour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 11
Year of Publication: 2013
Authors: Mir Mohammad Alipour
10.5120/10679-5561

Mir Mohammad Alipour . A New Approach to Segmentation of Persian Cursive Script based on Adjustment the Fragments. International Journal of Computer Applications. 64, 11 ( February 2013), 21-26. DOI=10.5120/10679-5561

@article{ 10.5120/10679-5561,
author = { Mir Mohammad Alipour },
title = { A New Approach to Segmentation of Persian Cursive Script based on Adjustment the Fragments },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 11 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number11/10679-5561/ },
doi = { 10.5120/10679-5561 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:27.824384+05:30
%A Mir Mohammad Alipour
%T A New Approach to Segmentation of Persian Cursive Script based on Adjustment the Fragments
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 11
%P 21-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. The recognition of cursive scripts like Persian and Arabic languages is a difficult task as their segmentation suffers from serious problems in different languages. Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of recognition process. In this paper, an improved segmentation method of the Persian script has been presented and to increase the quality of segmentation, some structural features of Persian language is used to adjust the fragments. This method is robust as well as flexible. It also increases the system's tolerances to font variations. The proposed method is able to segment existing Persian fonts up to 99. 2% accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Cursive Script Persian Segmentation Optical Character Recognition Adjustment the Fragments

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