A Similarity Retrieval of Trademark Images Considering Similarity for Local Objects Using Vector Images

In similarity retrievals of trademark images, evaluation of similarity for essential objects which show products or services is required. In order to examine similarity of local objects in images, it is necessary to extract the objects; however, it is difficult to extract essential objects correctly from raster-based images. On the other hand, since vector graphics independently describe information to every object in an image, vector-based images could be effective to evaluate the similarity. To enhance performance of content-based image retrievals, this paper proposes a similarity retrieval method for trademarks using vector images. In the proposed method, an angle histogram which represents characteristics of an object is produced to every object in a vector image. And then, using features obtained from the histogram, similarity of objects between images is measured. Experimental results have shown that the proposed method could well evaluate similarity of each essential object in trademarks using vector-based images.