Hand extraction using geometric moments based on active skin color model

The hand gesture is the most common and natural way for human daily interaction. In this paper, we propose a novel approach to hand extraction based on active skin color model. The skin color model is first built by the non-linear transformation in YCbCr color space. Then the obtained model is applied to hand segmentation. Hand feature is extracted by calculating the seven moments of hand segmentation image. The experimental results demonstrate the feasibility of the proposed method.