Abstract
Employing content based image retrieval (CBIR) methods to trademark registration can improve and accelerate the checking process greatly. Amongst all the features present in CBIR, shape seems to be the most appropriate for this task. It is however usually only utilized for non-occluded and noise free objects. In this paper the emphasis is put on the atypical case of the fraudulent creation of a new trademark based on a popular registered one. One can just modify an existing logo by, for example, removing or inserting a part into it. Another method is to modify even smaller subparts, which is close to adding noise to it’s silhouette. So, a method is herein described of template matching using a shape descriptor which is robust to rotation, scaling, shifting, and also to occlusion and noise.
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Frejlichowski, D. (2006). Trademark Retrieval in the Presence of Occlusion. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_25
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DOI: https://doi.org/10.1007/3-540-33521-8_25
Publisher Name: Springer, Berlin, Heidelberg
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