A Systematic Survey of Skin Detection Algorithms, Applications and Issues

In the current era of World Wide Web, human skin detection is a critical parameter in computer vision and image processing applications. With diverse range of applications in forensic sciences, medical imaging, pornography filtering, image retrieval, video surveillance etc., skin detection algorithms are to face many challenges. The major problems in detection of human skin color are varying shades of human skin, color spaces, skin color daily life objects, and illumination conditions. This paper is a systematic study of human skin color detection methods and their classification. Moreover different domains of application are also discussed. The work presented in this paper is a survey of algorithmic techniques proposed so far, their implementation, numerical evaluation results, comparative analysis and discussion on complications.