Pornographic Image Filtering Using Skin Recognition Methods

In this paper, we describe various skin detection methods, image filtering methods and comprehensive comparative study among these methods proposed to detect adult classified images. It is based on concept of Computer Vision algorithms and pattern recognition techniques. First the images are changed to identify areas with low color intensity by the color model. In the next part of the proposed system specify that the image is filtered using skin detection. The main aim has to segment a person or people within the image. By counting all p ixels with identical skin tone, then we can t reat the image with porn content The development of Internet make changes in dramatically falling costs of data storage and improvement in coding technology are generating wide variety of wall papers, images, animation, graphics, sound and video [1]. Now a day’s it is obvious that the computers with internet connection. There are facilit ies in large amount of adult images for free to access. This kind of media is availab le for children and making problem for many parents. The searching principal of Internet browser programs to avoid adult classified content should be filtering of images. There are ways available to stop adult classified content images on computers. This process is carried out by blocking unwanted sites or identifying images that show explicit content. There are some programs available in the foreign market that allow blocking sites on Internet with offensive or explicit content like: Cyber Patrol, Content Protect, Net Nanny, Family.net and K9 Web Protection [2]these programs are provided to safeguard their children from using the Internet through having parental control. There are programs to detect pornographic images within the computer such as: Surf Recon that offers a program for this purpose, and despite being a tool of computer forensic, helps to detect images with exp licit content.