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.
