Feature Extraction Of Trademark Images Using Geometric Invariant Moment And Zernike Moment: A Comparison

Nursalasawati Rusli, and Puteh Saad, (2004) Feature Extraction Of Trademark Images Using Geometric Invariant Moment And Zernike Moment: A Comparison. Jurnal Penyelidikan dan Pendidikan Kejuruteraan, 1 (1). pp. 1-15. ISSN 18232981

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Affiliations

Kolej Universiti Kejuruteraan Utara Malaysia
Kolej Universiti Kejuruteraan Utara Malaysia

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 interclass invariance to various pertubations. 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

Item Type:	Journal
Keywords:	Image processing, trademark images, Zernike Moment technique
Subjects:	Q Science, Computer Science T Technology, Engineering
ID Code:	2597

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