Illumination removal and text segmnetation for Al-Quran using binary representation

Segmentation process for segmenting Al-Quran needs to be studied carefully. This is because Al-Quran is the book of Allah swt. Any incorrect segmentation will affect the holiness of Al-Quran. A major difficulty is the appearance of illumination around text areas as well as of noisy black stripes. In...

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Main Author:	Nazeeh Jamil Bany Melhem
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/15884/1/ILLUMINATION%20REMOVAL%20AND%20TEXT%20SEGMENTATION%20FOR%20AL-QURAN%20USING%20BINARY%20REPRESENTATION%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15884/2/Illumination%20removal%20and%20text%20segmnetation%20for%20Al-Quran%20using%20binary%20representation.pdf
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id	my-utem-ep.15884
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Azmi, Mohd Sanusi
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Nazeeh Jamil Bany Melhem Illumination removal and text segmnetation for Al-Quran using binary representation
description	Segmentation process for segmenting Al-Quran needs to be studied carefully. This is because Al-Quran is the book of Allah swt. Any incorrect segmentation will affect the holiness of Al-Quran. A major difficulty is the appearance of illumination around text areas as well as of noisy black stripes. In this study, we propose a novel algorithm for detecting the illumination on Al-Quran page. Our aim is to segment Al-Quran pages to pages without illumination, and to segment Al-Quran pages to text line images without any changes on the content. First we apply a pre-processing which includes binarization. Then, we detect the illumination of Al-Quran pages. In this stage, we introduce the vertical and horizontal white percentages which have been proved efficient for detecting the illumination. Finally, the new images are segmented to text line. The experimental results on several Al-Quran pages from different Al-Quran style demonstrate the effectiveness of the proposed technique.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Nazeeh Jamil Bany Melhem
author_facet	Nazeeh Jamil Bany Melhem
author_sort	Nazeeh Jamil Bany Melhem
title	Illumination removal and text segmnetation for Al-Quran using binary representation
title_short	Illumination removal and text segmnetation for Al-Quran using binary representation
title_full	Illumination removal and text segmnetation for Al-Quran using binary representation
title_fullStr	Illumination removal and text segmnetation for Al-Quran using binary representation
title_full_unstemmed	Illumination removal and text segmnetation for Al-Quran using binary representation
title_sort	illumination removal and text segmnetation for al-quran using binary representation
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2015
url	http://eprints.utem.edu.my/id/eprint/15884/1/ILLUMINATION%20REMOVAL%20AND%20TEXT%20SEGMENTATION%20FOR%20AL-QURAN%20USING%20BINARY%20REPRESENTATION%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15884/2/Illumination%20removal%20and%20text%20segmnetation%20for%20Al-Quran%20using%20binary%20representation.pdf
_version_	1747833880545591296
spelling	my-utem-ep.158842022-04-19T10:19:29Z Illumination removal and text segmnetation for Al-Quran using binary representation 2015 Nazeeh Jamil Bany Melhem TA Engineering (General). Civil engineering (General) Segmentation process for segmenting Al-Quran needs to be studied carefully. This is because Al-Quran is the book of Allah swt. Any incorrect segmentation will affect the holiness of Al-Quran. A major difficulty is the appearance of illumination around text areas as well as of noisy black stripes. In this study, we propose a novel algorithm for detecting the illumination on Al-Quran page. Our aim is to segment Al-Quran pages to pages without illumination, and to segment Al-Quran pages to text line images without any changes on the content. First we apply a pre-processing which includes binarization. Then, we detect the illumination of Al-Quran pages. In this stage, we introduce the vertical and horizontal white percentages which have been proved efficient for detecting the illumination. Finally, the new images are segmented to text line. The experimental results on several Al-Quran pages from different Al-Quran style demonstrate the effectiveness of the proposed technique. 2015 Thesis http://eprints.utem.edu.my/id/eprint/15884/ http://eprints.utem.edu.my/id/eprint/15884/1/ILLUMINATION%20REMOVAL%20AND%20TEXT%20SEGMENTATION%20FOR%20AL-QURAN%20USING%20BINARY%20REPRESENTATION%20%2824%20pgs%29.pdf text en public http://eprints.utem.edu.my/id/eprint/15884/2/Illumination%20removal%20and%20text%20segmnetation%20for%20Al-Quran%20using%20binary%20representation.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96209 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Azmi, Mohd Sanusi 1. Agrawal, M. and Doermann, D., 2013. 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Illumination removal and text segmnetation for Al-Quran using binary representation

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