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 u...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UiTM Press
2016
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| Subjects: | |
| 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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