Improving iris recognition performance using reed solomon codes and distance matching metric

Improving iris recognition performance using reed solomon codes and distance matching metric

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Bibliographic Details
Main Author: Sim, Hiew Moi
Format: Thesis
Published: 2011
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.26799
record_format uketd_dc
spelling my-utm-ep.267992017-07-09T07:49:59Z Improving iris recognition performance using reed solomon codes and distance matching metric 2011 Sim, Hiew Moi QA75 Electronic computers. Computer science 2011 Thesis http://eprints.utm.my/id/eprint/26799/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Improving+iris+recognition+performance+using+reed+solomon+codes+and+distance+matching+metric&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
Sim, Hiew Moi
Improving iris recognition performance using reed solomon codes and distance matching metric
description
format Thesis
qualification_level Master's degree
author Sim, Hiew Moi
author_facet Sim, Hiew Moi
author_sort Sim, Hiew Moi
title Improving iris recognition performance using reed solomon codes and distance matching metric
title_short Improving iris recognition performance using reed solomon codes and distance matching metric
title_full Improving iris recognition performance using reed solomon codes and distance matching metric
title_fullStr Improving iris recognition performance using reed solomon codes and distance matching metric
title_full_unstemmed Improving iris recognition performance using reed solomon codes and distance matching metric
title_sort improving iris recognition performance using reed solomon codes and distance matching metric
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2011
_version_ 1747815513717735424

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