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» Image spam filtering using Fourier-Mellin invariant features
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ICASSP
2009
IEEE
13 years 2 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 spam...
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
IJDAR
2000
77views more  IJDAR 2000»
13 years 4 months ago
Symbol and character recognition: application to engineering drawings
: In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French Telephonic Operator, France Telecom. More precisely, w...
Sébastien Adam, Jean-Marc Ogier, Claude Car...
ICIP
2005
IEEE
14 years 6 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...
WWW
2009
ACM
14 years 5 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
CEAS
2008
Springer
13 years 7 months ago
Improving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other a...
Giorgio Fumera, Fabio Roli, Battista Biggio, Ignaz...