Method of image-based spam filtering of e-mails based on image similarity detection
HE Yang-wei · Journal of Lanzhou University of Technology · 2008
The ever increasing volumes of image-based spam e-mails are bringing more annoyance to internet users,and how to filter it has become a pressing problem.The key problem of image-based spam filtering-image feature Abstraction was analyzed,and then based on the characteristics of the spam being sent repeatedly and their contents being highly resemble to each other,a new kind of image-based spam filtering method was proposed where the comprehensive feature of mailed images was extracted and taken as a basis of similarity of the object mail image to the image in spam samples database.The similarity examination then would implement the spam filtering.In the experiment,the color,texture and shape features were extracted as sublayer vision features and described with color moments,intergrowth matrix moment statistics,invariant moments.It was showed that this method had a recal1 of 95%.