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Proceedings Paper

Binary trademark retrieval based on sub-block images
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Paper Abstract

A method of binary trademark retrieval based on sub-block images features is proposed in the paper. First, in order to avoid the rotation effect, the trademark image's principal orientation is computed and the image is rotated accordingly. Second, by way of locating the image's object region, the translation effect is removed as well. Then, the image's object region is hierarchically partitioned into a quad tree of multilevel sub-block images. After that, the images' features are extracted under different level of divisions, so that the multi-level shape descriptors can be gained. The experiments prove the features based on sub-block images have strong invariability with respect to translation, scaling and rotation. Besides, the features compromise image's local features and global features at the same time, therefore, the retrieval results fit human visual perfect well.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954S (30 October 2009); doi: 10.1117/12.832730
Show Author Affiliations
Xiaolan Wang, Shanghai Maritime Univ. (China)
Yuanyuan Huang, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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