The analysis of shape-based, DWT and zernike moments feature extraction techniques for fasterner recognition using 10-fold cross validation multilayer perceptrons / N. D. Mustaffa Kamal, N. Jalil and H. Hashim

This paper presents an analysis of three feature extraction techniques which are the shape-based, Zernike moments and Discrete Wavelet Transform for fastener recognition. RGB colour features are also added to these major feature extractors to enhance the classification result. The classifier used in...

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Bibliographic Details

Main Authors:	Mustafa Kamal, N. D., Jalil, N., Hashim, H.
Format:	Article
Language:	en
Published:	UiTM Press 2016
Subjects:	Pattern recognition systems
Online Access:	https://ir.uitm.edu.my/id/eprint/63005/1/63005.pdf https://ir.uitm.edu.my/id/eprint/63005/ https://jeesr.uitm.edu.my/v1/
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