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Proceedings Paper

Trademark image retrieval
Author(s): Li Guo; Jingyu Yang; Xinghua Sun
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Paper Abstract

The local features are as important as global features for content-based trademark image retrieval. This paper gives a trademark image retrieval method based on the features of sub-images together with global image information. We extract the sub-images for each candidate, and take the image for the sub-image of itself, and then use the features of sub-images for retrieval. We have tested our method on an image database containing 3000 binary trademark images and use PVR-component as the evaluation measure, experiments show that using local information together with the global information, the retrieval performance of our method is better than that of retrieval method based only on global features, and the retrieval result can fit the people's visual feelings well.

Paper Details

Date Published: 26 September 2001
PDF: 5 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442902
Show Author Affiliations
Li Guo, Nanjing Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)
Xinghua Sun, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies
Jun Tian; Tieniu Tan; Liangpei Zhang, Editor(s)

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