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An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system

THS QA274.7.M87 2009

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Bibliographic Details
Main Author: Mustafa Agil Muhamad Balbed
Format: text::Thesis
Language:English
Published: 2023
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id my.uniten.dspace-19383
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spelling my.uniten.dspace-193832023-05-04T16:52:12Z An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system Mustafa Agil Muhamad Balbed THS QA274.7.M87 2009 2023-05-03T13:31:08Z 2023-05-03T13:31:08Z 2009-06 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/19383 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description THS QA274.7.M87 2009
format Resource Types::text::Thesis
author Mustafa Agil Muhamad Balbed
spellingShingle Mustafa Agil Muhamad Balbed
An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
author_facet Mustafa Agil Muhamad Balbed
author_sort Mustafa Agil Muhamad Balbed
title An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
title_short An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
title_full An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
title_fullStr An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
title_full_unstemmed An improved HMM-based offline signature verification systems using combined-features from a som-guide fuzzy system
title_sort improved hmm-based offline signature verification systems using combined-features from a som-guide fuzzy system
publishDate 2023
_version_ 1806425623876337664
score 13.223943

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