@inproceedings{4af7a5f450de49c0ac933353f19ce6f2,
title = "Trademarks recognition based on local regions similarities",
abstract = "This paper deals with content based image retrieval. We propose a logo recognition algorithm based on local regions, where the trademark (or logo) image is segmented by the clustering of points of interest obtained by Harris corners detector. The minimum rectangle surrounding each cluster is detected forming the regions of interest. Global features such as Hu moments and histograms of each local region are combined to find similar logos in the database. Similarity is measured based on the integrated minimum average distance of the individual components. The results obtained demonstrate tolerance to logos distortions such as rotation, occlusion and noise.",
keywords = "Clustering, Image color analysis, Image segmentation, Information retrieval, Moments, Pattern recognition",
author = "Ahmed Zeggari and Fella Hachouf and Sebti Foufou",
year = "2010",
doi = "10.1109/ISSPA.2010.5605559",
language = "English (US)",
isbn = "9781424471676",
series = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010",
pages = "37--40",
booktitle = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010",
note = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 ; Conference date: 10-05-2010 Through 13-05-2010",
}