Binary trademark retrieval based on sub-block images

Xiaolan Wang; Yuanyuan Huang

doi:10.1117/12.832730

30 October 2009 Binary trademark retrieval based on sub-block images

Xiaolan Wang, Yuanyuan Huang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954S (2009) https://doi.org/10.1117/12.832730
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Xiaolan Wang and Yuanyuan Huang "Binary trademark retrieval based on sub-block images", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954S (30 October 2009); https://doi.org/10.1117/12.832730

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