Handwritten Arabic writer identfication

Automatic Writer Identification is an essential research area to forensic analysis. It is considered under pattern recognition domain problem. Writer identification mainly consists of three typical phases: pre-processing, feature extraction, and classification. Another phase, the Discretization phas...

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Bibliographic Details
Main Author:	Ahmad Almaary, Wafa Obied
Format:	Thesis
Published:	2010
Subjects:	QA75 Electronic computers Computer science
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id	my-utm-ep.4300
record_format	uketd_dc
spelling	my-utm-ep.43002020-06-30T08:16:30Z Handwritten Arabic writer identfication 2010-10 Ahmad Almaary, Wafa Obied QA75 Electronic computers. Computer science Automatic Writer Identification is an essential research area to forensic analysis. It is considered under pattern recognition domain problem. Writer identification mainly consists of three typical phases: pre-processing, feature extraction, and classification. Another phase, the Discretization phase, has been added to the framework to improve identification performance. The Arabic handwriting has less attention in writer identification research area, with about 10 researches found in the literature. This research intended to study and evaluate the effects of discretization process on writer identification performance, for off-line text-independent Arabic handwriting. It is tested on the IFN/ENIT Arabic DB with 100 writers and the Regional Arabic DB containing samples of Arabic words written by 30 writers from 6 Arabian countries and counties that can write Arabic. The results disclose an achievement of 99.8% accuracy of identification by using 3920 training data and 980 testing data. 2010-10 Thesis http://eprints.utm.my/id/eprint/4300/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Ahmad Almaary, Wafa Obied Handwritten Arabic writer identfication
description	Automatic Writer Identification is an essential research area to forensic analysis. It is considered under pattern recognition domain problem. Writer identification mainly consists of three typical phases: pre-processing, feature extraction, and classification. Another phase, the Discretization phase, has been added to the framework to improve identification performance. The Arabic handwriting has less attention in writer identification research area, with about 10 researches found in the literature. This research intended to study and evaluate the effects of discretization process on writer identification performance, for off-line text-independent Arabic handwriting. It is tested on the IFN/ENIT Arabic DB with 100 writers and the Regional Arabic DB containing samples of Arabic words written by 30 writers from 6 Arabian countries and counties that can write Arabic. The results disclose an achievement of 99.8% accuracy of identification by using 3920 training data and 980 testing data.
format	Thesis
qualification_level	Master's degree
author	Ahmad Almaary, Wafa Obied
author_facet	Ahmad Almaary, Wafa Obied
author_sort	Ahmad Almaary, Wafa Obied
title	Handwritten Arabic writer identfication
title_short	Handwritten Arabic writer identfication
title_full	Handwritten Arabic writer identfication
title_fullStr	Handwritten Arabic writer identfication
title_full_unstemmed	Handwritten Arabic writer identfication
title_sort	handwritten arabic writer identfication
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information System
publishDate	2010
_version_	1747814510365769728

Handwritten Arabic writer identfication

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