Automatic Pornographic Detection in Web Pages Based on Images and Text Data Using Support Vector Machine.

The Rapid developments in Internet Technologies and usage have made it easier to share and exchange personal or business information all over the world through web pages but majority of web pages on World Wide Web are equipped with illegal or harmful contents among which web pages with pornographic contents are accessed most frequently. For last two decades, computers and Internet are not beyond the reach of children. Effortless availability of pornographic contents is a growing problem that many guardians are concerned about. Even many companies are considering this issue seriously and taking careful measures to ensure that computing resources are properly utilized. This paper proposes a technique to detect the pornographic web pages using Support Vector Machine.