Partial Image Spam E-Mail Detection Using OCR
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2011 by IJETT Journal | ||
Volume-1 Issue-1 |
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Year of Publication : 2011 | ||
Authors :V. Sathiya M.Divakar T.S. Sumi | ||
Citation
V. Sathiya , M.Divakar , T.S. Sumi."Partial Image Spam E-Mail Detection Using OCR". International Journal of Engineering Trends and Technology (IJETT),V1(1):55-59 May to June 2011. ISSN:2231-5381. www.ijettjournal.org. Published by Seventh Sense Research Group.
Abstract
Even though there a number of inbuilt E - mail filtering software associated with every e - mail service providers like Gmail , Yahoo mail they identify only text spam and image spam. As a result they could not detect the mix image spam. So this paper concentrates on identifying and avoiding partial image spam whenever it is received to our e - mail inbox by an unknown source across the Internet .
References
[1] B.Battista, F.Giorgio, P.Ignaz io, and R.Fabio, “Image Spam Filtering Using Visual Information”, in Proc.14th International Conference on Image Analysis and Processing (ICIAP 2007), Department of Electrical and Electronic Engineering, University. Of Cagliari, Italy, 2007.
[2] B.Batt ista, F.Giorgio, P.Ignazio, and R.Fabio,“Image Spam Filtering by Content Obscuring Detection ” in Proc. 4th International Conference on E - mail and Anti - Spam(CEAS 2007), California, USA, April 2008.
[3] B.Battista, F.Giorgio, P.Ignazio, and R.Fabio, “Impro ving Image Spam Filtering Using Image Text Features”, in Proc.5th International Conference on Email and Anti - Spam (CEAS), California, USA. , 2008.
[4] G.Francesco, P.Antonio, PI.Antonio, and S.Carlo, “Using heterogeneous features for anti - spam filters”, i n Proc. 19th International Conference on Database and Expert Systems Application, pp.670 - 674, September 2008.
[5]H.Hailing, G.Weiqiang, and Z.Yu, “A Novel Method for Image Spam Filtering”, in Proc. 9th International Conference for Young Computer Scientist s, Zhang Jia Jie, Hunan China, pp.826 - 830, November 2008.
[6] N.Jordan, M.Daniel, C.D.Nunes, and A.John, “Image Spam - ASCII to the Rescue!” , in Proc . 3rd International Conference on Malicious and Unwanted Software (MALWARE), pp.65 - 68, 2008
[7] C.Junwei, Z.Lichun, and L.Yueu, “Application of Scale Invariant Feature Transform to Image Spam Filter”, in Proc. 2nd International Conference on Future Generation Communication and Networking Symposia, IEEE Computer Society, vol. 3, pp.55 - 58, 2008
[8] D.Mark, G.Reuven, and B.E.Ari, “Learning Fast Classifiers for Image Spam”, in Proc.4th International Conference on Email and Anti - Spam(CEAS 2007), Microsoft Research Silicon Valley, Mountain View, California, USA, 2007.
[9] U.Masahiro, and T.Toshihiro, “ Design a nd Evaluation of a Bayesian - filterbased Image Spam Filtering Method”, in Proc. International Conference on Information Security and Assurance (Isa 2008) , pp . 46 51, Bussan, Korea, 2008.
[10] H.Peizhou, W.Xiangming, Z.Wei, and L.Xinqi, “Filtering Image Spa m Using File Properties and Color Histogram”, in Proc. International Conference on Multimedia and Information Technology, pp.276 - 279, 2008.
[11] K.Sven, T.Yuchung, G.Jeremy, A.Dmitri, and J.Paul, “ Identifying Image Spam based on Header and File Properti es using C4.5 Decision Trees and Support Vector Machine Learning”, in Proc. IEEE Workshop on Information Assurance United States Military Academy, West Point, NY, June 2007.
[12] W.C. Wu, C.T. Kwang, Z.Qiang, and W.L.Yi, “Using Visual Features For Anti - Spam Filtering”, in Proc. IEEE International Conference on Image Processing (ICIP 2005), Genoa, Italy, Vol. 3, pp. III - 509 - 12, September 11 - 14, 2005.
[13] G.Yan, Y.Ming, Z.Xiaonan, P.Bryan, W.Ying , N.Thrasyvoulos, Pappas, and C.Alok, “Image Spam Hunter ”, in Proc. Acoustics, Speech and Signal(ICASSP2008), pp. 1765 - 1768, March 31 2008 - April 4 2008
[14] W. Zhe , J.William, L.Qin, C.Moses, and L.Kai, “Filtering Image Spam with Near - Duplicate Detection”, in Proc. 4th International Conference on E - mail Anti - S p am(CEAS 2007), California, USA, April 2008.
Keywords
E - mail service provider, Partial image spam