The skin recognition is a topic that has been studying since some years ago using machine learning and artificial vision, nowadays this topic has many applications in the medical industry, for example, cancer detection, injuries, mood recognition, telemedicine, among other applications. In this industry, if we can classify the skin tonalities, we able to limit the diseases that attack each type of skin tonality. Many papers have studied skin recognition, where the goal is the recognition of the skin in a picture or video, they need to have a good database and powerful algorithms of machine learning. This paper proposes a system able to segment the skin through the map and the recognition of the skin in an image. The results show that is possible to generate a skin geographic distribution; it gives the opportunity to classify the skin tonalities, for another hand, we tested the proposed system to recognize skin showing interesting results for different tonalities of skin.