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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/2204

Title: Feature Extraction of Trademark Images using Geometric Invariant Moment and Zernike Moment - a comparison
Authors: Puteh Saad
Nursalasawati Rusli
Keywords: Geometric Moment Invariant (GMI);Zernike Moment Invariat (ZMI);Invariants;Optical pattern recognition;Pattern perception;Image processing
Issue Date: 2004
Citation: Journal of Engineering Research and Education, vol. 1, 2004, pages 1-16.
Abstract: The qualities of features extracted determine the successfulness of any image related applications. This is particularly true especially when the natures of Images are occluded and consist of various shapes and design styles, such as trademark images, in this study Geometric Invariant Moment and Zernike Moment techniques are utilized to extract sets of features from trademark images. The results obtained are analysed and compared in terms of intraclass invariance to various perturbations. It is found that a set of features produced by Zernike Moment technique is more robust when compared to features produced by Geometric Invariant Moment.
Description: Link to publisher's homepage at http://www.unimap.edu.my/
URI: http://hdl.handle.net/123456789/2204
ISSN: 1823-2981
Appears in Collections:Journal of Engineering Research and Education (JERE)

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