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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(1): 84-88 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.287

A Novel Approach towards Image Spam Classification

M.Soranamageswari, C.Meena
Abstract—The volume of unsolicited commercial mails has grown extremely in the past few years because of increased internet users. This unsolicited mails termed as spam occupy large storage space and bandwidth. Therefore designing an efficient spam filter is a challenging issue ahead for the future generation. Here we use gradient histogram is a key feature that can be exploited to improve the categorization capability. The gradient values are valuated for each pixel of an image. These obtained features are then normalized for efficient spam classification. These normalized features are then applied as input for feed forward back propagation neural network (BPNN) model. The experiments are conducted for different training/testing rule for the BPNN. The performance measure in terms of accuracy is determined for the proposed method using various training rule of BPNN.

Index Terms—Feature Extraction, Feed Forward Back Propagation Neural Networks, Gradient Histogram, and Training/Testing rule.

M. Soranamageswari is with LRG Govt Arts College for Women, Tirupur. (email : swarnakannappan@rediff.com). Dr. C. Meena is with the Avinashilingam University for Women in India. (E-mail: meena_cc@avinuty.ac.in;

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Cite: M.Soranamageswari, Dr.C.Meena, "A Novel Approach towards Image Spam Classification," International Journal of Computer Theory and Engineering vol. 3, no. 1, pp. 84-88, 2011.
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