Content-based Trademark Retrieval using Zernike Moment and Color-Spatial Techniques

Abstract:- Today, the number of registered trademarks is huge and is increasing rapidly. Thus, the job of identifying infringement of trademarks by solely using manual inspection is tiring, laborious and time consuming. To cope with the tremendous amount of available registered trademarks and to protect the infringement of trademarks, a new automatic and efficient trademark retrieval system is necessary and urgent. This paper presents an efficient content-based trademark retrieval based on the synergy between the color-spatial technique and zernike moment method. Zernike moments could be used as an effective descriptor of global shape of a trademark while the color-spatial feature could be used to obtain color spatial distribution in the trademark image. To retrieve visually similarly look trademark, we use a weight Euclidean distance measure. Experimental evaluations conducted on a database containing 1000 trademark images shows that the proposed methodology is very effective in retrieving visually similar look trademarks. Key-Words:- Zernike moments, color-spatial, content-based, image retrieval and trademark