In this paper, we propose a new hand gesture recognition scheme using hand poses captured from a web camera. The key idea of this scheme is to extract skin color from the background-subtracted image. To extract skin color, in the first phase, we subtract background by repeatedly comparing the stored initial frame with next frames. And then we eliminate noise using dynamic table. In the second phase, we exactly recognize hand gesture by extracting skin color from YCbCr color region.