Evaluating system of human skin surface condition by image processing

In this paper, we propose an automatic evaluating system of human skin surface condition based on subjective evaluation provided by cosmeticians. In the proposed system, image features extracted on skin image and subjective evaluation by cosmeticians are flexibly connected by using a back-propagation neural network, so that it can automatically estimate human skin surface condition on based on subjective evaluation from our various skin images. We show some experimental results. Using the trained neural network, human skin surface condition based on subjective evaluation is estimated for unlearned skin images. Then subjective evaluation by this system was compared with that by cosmeticians. Since the proposed system can successfully estimate human skin surface condition like cometicians, the effect of the system is demonstrated.