Image spam filtering using Fourier-Mellin invariant features
Date
2009
Authors
Zuo, H.
Li, X.
Wu, O.
Hu, W.
Luo, G.
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Conference paper
Citation
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings / pp.849-852
Statement of Responsibility
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu and Guan Luo
Conference Name
IEEE International Conference on Acoustics, Speech and Signal Processing (34th : 2009 : Taipei, Taiwan)
Abstract
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spams by using the Fourier-Mellin invariant features is described. Fourier-Mellin features are robust for most kinds of image spam variations. A one-class classifier, the support vector data description (SVDD), is exploited to model the boundary of image spam class in the feature space without using information of legitimate emails. Experimental results demonstrate that our framework is effective for fighting image spam.
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©2009 IEEE