Global features extraction and clustering for writer identification of English script

Global features extraction and clustering for writer identification of English script

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Bibliographic Details
Main Author: Fadhil, Murad Saadi
Format: Thesis
Published: 2011
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.26764
record_format uketd_dc
spelling my-utm-ep.267642017-07-06T04:50:09Z Global features extraction and clustering for writer identification of English script 2011 Fadhil, Murad Saadi QA75 Electronic computers. Computer science 2011 Thesis http://eprints.utm.my/id/eprint/26764/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Global+features+extraction+and+clustering+for+writer+identification+of+English+script&te= masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System 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
Fadhil, Murad Saadi
Global features extraction and clustering for writer identification of English script
description
format Thesis
qualification_level Master's degree
author Fadhil, Murad Saadi
author_facet Fadhil, Murad Saadi
author_sort Fadhil, Murad Saadi
title Global features extraction and clustering for writer identification of English script
title_short Global features extraction and clustering for writer identification of English script
title_full Global features extraction and clustering for writer identification of English script
title_fullStr Global features extraction and clustering for writer identification of English script
title_full_unstemmed Global features extraction and clustering for writer identification of English script
title_sort global features extraction and clustering for writer identification of english script
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2011
_version_ 1747815505191763968

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