A new skin color detection approach based on fuzzy expert system

Abstract

One of the most important applications of intelligent systems in medicine is using expert systems to help with the diagnostic-treatment decision making process. Designing a new Fuzzy Expert System is aimed at for detecting human skin from other materials intelligently. Skin detection is a challenging problem, because certain factors such as brightness change, a complicated background, and objects with colors similar to that of human skin represent the obstacles thereof. The dataset used in this research was adopted from the UCI accredited database having 245057 records, with each record having four fields. The skin is made up of R, G, and B color space segmentation obtained from the facial images of both genders in different age and racial groups. The results achieved show that this system has managed to detect human skin with 80% accuracy using the help of expert's knowledge on human skin detection such as dermatologists and digital image processing experts.