Image Based Spam Email Detection by Combined Approach

Electronic mail is one of the important communication channels of information technology which serves across the globe. Though the functionalities of e-mail have been very helpful in serving both individuals and institutions, it encounters a major issue called ‘Spamming’. Spam mails are unwanted text or image-based messages, often sent without the consent of users so as to fill their mailboxes. In this paper, proposes two new novel methods-firstly the hybrid character segmentation method is proposed which uses Discrete Wavelet Transform and Hough Transform to segment the characters. Secondly, the hybrid character recognition is proposed which uses Template Matching and Contour Analysis towards recognizing the characters. The final phase of the paper is a complete spam detection system with the two proposed works built to detect spam messages. The overall efficiency of the proposed system reached above 90% which discerns the proposed work as a significant contribution to the research community. Keywords-Text segmentation, Text recognition, Image spam detection.