Title :
Using Diagonal and Horizontal Vertical Sobel Operators Spam Detection
Author :
Wan, Peng ; Uehara, Minoru
Author_Institution :
Dept. of Inf. & Comput. Sci., Toyo Univ., Saitama, Japan
fDate :
Nov. 30 2011-Dec. 2 2011
Abstract :
Spam e-mail is not only a waste of time for the recipients but can also spread harmful messages and viruses. To avoid spam filters, spam senders usually send images instead of text. Traditional image spam filters have weaknesses in scanning documents and photographs. However, to transmit information, text is always used in image spam. Therefore, in this study, we classify mail images by the configuration of letters and images. We propose a spam detection method that uses Sobel operators for edge detection.
Keywords :
computer viruses; e-mail filters; edge detection; image classification; unsolicited e-mail; Sobel operators; document scanning; edge detection; harmful messages; harmful viruses; image spam filters; mail image classification; photograph scanning; spam detection method; spam e-mail; Image edge detection; Information filters; Internet; Noise; Unsolicited electronic mail; Sobel; character; diagonal; edge detection; horizontal vertical;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4577-1908-0
DOI :
10.1109/INCoS.2011.160