Recognition of finger-pointing direction using color clustering and image segmentation

An accurate method of recognizing finger-pointing direction using multiple cameras is proposed. Input images are segmented by color clustering prior to shape analysis. Some restrictions in previous methods, such as narrowness of operation area and predefined skin color, are removed. Finger-pointing recognition in eight directions is achieved with an average of 90% recall and 93% precision.