International Journal of Advances in Computer Science and Its Applications
Author(s) : CHHAYA DULE, M. KAMBLE
Today, the internet is the most powerful tools throughout the world. However the explosive growth of unsolicited emails has prompted the development of numerous spam filtering techniques It needlessly obstruct the entire system. Spammers are creating new ways against anti-spam technology. By the end of 2006, the nature of spam had totally shifted. The newest of which is the image-based spam. They are difficult to detect using traditional techniques. How to deal with the image spam is a difficult problem for the entire world. Image spam has become the main form of spam, it is a problem crying out for solutions to effectively filter such spam nowadays. This paper considers various systems that has been proposed for the detection of image spam by considering text, content and image features.