AN AUTOMATED ANTI-PORNOGRAPHY SYSTEM USING A SKIN DETECTOR BASED ON ARTIFICIAL INTELLIGENCE: A REVIEW
Unprecedented advances in Internet technologies with multimedia capabilities have enabled pornography and adult content to be widely and freely distributed as easy as a click of a mouse through various means such as YouTube, Facebook, and Tags. Protecting children from unnecessary exposure to adult content has, therefore, become a serious problem in the real world. In particular, the considerable perversion in pornography and the exposure of children and the society to such perversions leads to moral decay. Constructing an appropriate filter for pornographic images is a major concern in modern society; however, this area poses challenges. This study aims to shed light on a content-based technique that employs an anti-pornography machine and to encourage researchers to study this adult image filtering technique. In this study, we discuss models of skin detection and their advantages and disadvantages in real life. We also elaborate on the pornographic image classifier using a feature extraction process and its classification process, along with the possible difficulties it may present. This study also analyzes anti-pornography techniques based on skin detection and discusses their strengths and weaknesses.
image-based pornography pornographic image filtering techniques color image segmentation