Object classification using PCA and geometric moment

The objective of this research is to perform object classification on a two dimensional (2D) database by using the geometric moment and principle component analysis methods taking into account its performance with comparison based on recognition rate.

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Bibliographic Details
Main Author: Kanakarajah Kulaseharan
Format: text::Final Year Project
Language:English
Published: 2023
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id my.uniten.dspace-21033
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spelling my.uniten.dspace-210332023-05-05T05:43:31Z Object classification using PCA and geometric moment Kanakarajah Kulaseharan The objective of this research is to perform object classification on a two dimensional (2D) database by using the geometric moment and principle component analysis methods taking into account its performance with comparison based on recognition rate. 1 82 2023-05-03T15:48:35Z 2023-05-03T15:48:35Z 2012 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/21033 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 The objective of this research is to perform object classification on a two dimensional (2D) database by using the geometric moment and principle component analysis methods taking into account its performance with comparison based on recognition rate.
format Resource Types::text::Final Year Project
author Kanakarajah Kulaseharan
spellingShingle Kanakarajah Kulaseharan
Object classification using PCA and geometric moment
author_facet Kanakarajah Kulaseharan
author_sort Kanakarajah Kulaseharan
title Object classification using PCA and geometric moment
title_short Object classification using PCA and geometric moment
title_full Object classification using PCA and geometric moment
title_fullStr Object classification using PCA and geometric moment
title_full_unstemmed Object classification using PCA and geometric moment
title_sort object classification using pca and geometric moment
publishDate 2023
_version_ 1806427650821980160
score 13.223943