SKIN DETECTION & SELECTION IN IMAGE UNDER COMPLEX BACKGROUND

Abstract

Skin detection is the process of finding skin colored pixels and regions in an image or a video. Skin
detection plays an important role in a wide range of image processing applications ranging from face detection, face
tracking, gesture analysis, and content-based image retrieval systems and to various human computer interaction
domains. Skin color has proven to be a useful and robust cue for face detection, localization and tracking. During skin
detection some non-skin pixels are usually detected as skin pixels. It is very difficult in images to select skin areas with
complex background. The purposed work is an improved skin detection method that uses color spaces and combines
color spaces to detect skin areas. The experimental result can separate skin and non-skin color under complex
background.