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Journal of Engineering Research and Education >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/2204
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| 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
http://www.unimap.edu.my/ |
| ISSN: | 1823-2981 |
| Appears in Collections: | Journal of Engineering Research and Education
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