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ICASSP
2009
IEEE

Image spam filtering using Fourier-Mellin invariant features

9 years 7 months ago
Image spam filtering using Fourier-Mellin invariant features
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.
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICASSP
Authors Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
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