Human Skin Detection Using RGB, HSV and YCbCr Color Models

Understand

Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image.

• Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process.
• A new human skin detection algorithm is proposed in this paper.
• The three main parameters for recognizing a skin pixel are RGB (Red, Green, Blue), HSV (Hue, Saturation, Value) and YCbCr (Luminance, Chrominance) color models.