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Content-based Rotation Invariant Retrieval of Trademarks  

Park, Jin-Geun (Samsung Electronics Corporation)
Jo, Sang-Hyeon (Dept.of Electronics Engineering, Graduate School of Kyungpook National University)
Choe, Heung-Mun (Dept.of Electronics Engineering, Graduate School of Kyungpook National University)
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Abstract
In this paper, an efficient content-based rotation-invariant retrieval of the trademarks is proposed using the edge-direction histogram for a principal symmetry axis and the moment invariants. Rotation invariant retrieval of trademarks is difficult for the conventional retrieval systems because their feature vectors are not rotation-invariant. In this paper, to obtain rotation invariant feature vectors, in addition to invariant moments, the edge-direction histogram for a principal symmetry axis is introduced and is used to solve the bin shift problem of the histogram resulted from the rotated trademark. Performance evaluation has been carried out for a database of 300 kinds of trademarks including 20 kinds of typical trademarks which are reported to be difficult to retrieve when rotated, and the proposed scheme is proved to retrieve trademarks more efficiently, especially for the rotated trademarks, than the conventional methods.
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[ R.C.Gonzalez;R.E.Woods ] / Digital Image Processing
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