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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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 |
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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 |
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Kanakarajah Kulaseharan Object classification using PCA and geometric moment |
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Kanakarajah Kulaseharan |
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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 |
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Object classification using PCA and geometric moment |
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Object classification using PCA and geometric moment |
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object classification using pca and geometric moment |
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2023 |
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1806427650821980160 |
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13.223943 |