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.
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