Title :
A Novel Method for Image Spam Filtering
Author :
Huang, Hailing ; Guo, Weiqiang ; Zhang, Yu
Author_Institution :
Res. Instn. of Comput. Applic., South China Univ. of Technol.
Abstract :
As spamming morphs from text-only to multi-media in content, the existing text-based spam filters are no longer effective for the task. Image analysis technology will provide an effective tool to solve the above problem. This paper proposes a novel filter approach that focuses on the spam which change the content text to image files, or embed the spam message into attached images. Spam images are analyzed and specific features are selected for inspection based on components-based method. Then the network junk-mail-filter system can use these features to identify whether to filter the mail or not by feature matching. Experiments show that our method is efficient in inspecting document images with different geometric structure. The proposed method has potential applications in document image information extraction and filtering.
Keywords :
document image processing; image matching; information filtering; components-based method; document image information extraction; geometric structure; image analysis technology; image information filtering; image spam filtering; Computer applications; Data mining; Filtering; Filters; Image analysis; Image color analysis; Image databases; Postal services; Spatial databases; Unsolicited electronic mail; Specific features; classifying scheme; connected components; feature matching; keypoint descriptor;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.440
