Image Content-Based “Email Spam Image” Filtering - Volume 2 Number 2 (Jun. 2014) - JACN
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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail:
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(2): 110-114 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.92

Image Content-Based “Email Spam Image” Filtering

Jianyi Wang and Kazuki Katagishi
Abstract—With the population of Internet around the world, email has become one of the main methods of communication among people. Due to the flood of online information, great amount of the spam emails brings troubles to people. The number of technical approaches of spam filtering are increasing which are mostly based on the text spam filtering technologies. But it is not very effective for test messages imbedded into images which are developing rapidly in recent years. In this paper, we propose an approach of spam image filtering. Our approach combines the characteristics of spam images with the corner point density to detect spam images. The effectiveness of the proposed approach is experimentally evaluated.

Index Terms—Spam email filtering, spam images, the corner point density.

Jianyi Wang is with the University of Tsukuba Tennodai1-1-1, Tsukuba, Ibaraki 305-8577, Japan (e-mail:
Kazuki Katagishi is with Academic Computing and Communications Center, Organization for Information Infrastructure, University of Tsukuba, Tennoudai 1-1-1, Tsukuba, Ibaraki 305-8577, Japan (


Cite:Jianyi Wang and Kazuki Katagishi, "Image Content-Based “Email Spam Image” Filtering," Journal of Advances in Computer Networks vol. 2, no. 2, pp. 110-114, 2014.

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