An Efficient System for Blocking Pornography Websites
Tarek M. Mahmoud, Tarek Abd El‐Hafeez, Ahmed Omar · Advances in computational intelligence and robotics book series · 2014
The Internet is a powerful source of information. However, some of the information that is available on the Internet cannot be shown to every type of public. For instance, pornography is not desirable to be shown to children; pornography is the most harmful content affecting child safety and causing many destructive side effects. A content filter is one of more pieces of software that work together to prevent users from viewing material found on the Internet. In this chapter, the authors present an efficient content-based software system for detecting and filtering pornography images in Web pages. The proposed system runs online in the background of Internet Explorer (IE) for the purpose of restricting access to pornography Web pages. Skin and face detection techniques are the main components of the proposed system. Because the proposed filter works online, the authors propose two fasting techniques that can be used to speed up the filtering system. The results obtained using the proposed system are compared with four commercial filtering programs. The success rate of the proposed filtering system is better than the considered filtering programs.