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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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Main Author: Ahmad Almaary, Wafa Obied
Format: Thesis
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/4300/
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spelling my.utm.43002020-06-30T08:16:30Z http://eprints.utm.my/id/eprint/4300/ Handwritten Arabic writer identfication 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 NonPeerReviewed Ahmad Almaary, Wafa Obied (2010) Handwritten Arabic writer identfication. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2010
url http://eprints.utm.my/id/eprint/4300/
_version_ 1672610432736559104
score 13.211869

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