By Topic

An Efficient Method for Filtering Image-Based Spam

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ngo Phuong Nhung ; Posts and Telecommunications Institute of Technology, Vietnam, E-mail: ; Tu Minh Phuong

Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we describe a fast method to detect image-based spam e- mail. Using simple edge-based features, the method computes a vector of similarity scores between an image and a set of templates. This similarity vector is then used with support vector machines to separate spam images from other common categories of images. Our method does not require computationally expensive OCR or even text extraction from images. Empirical results show that the method is fast and has good classification accuracy.

Published in:

Research, Innovation and Vision for the Future, 2007 IEEE International Conference on

Date of Conference:

5-9 March 2007