A novel algorithm for extraction of the scripts part in traditional Chinese painting images

Traditional Chinese painting is a unique form of art and highly regarded for its theory, expression and techniques throughout the world. A traditional Chinese painting is composed of three parts: the mainbody part, the seals part and scripts part. These three parts have many semantics. So extraction of them is important and urgent task. However, popular image processing techniques have little been used in this specific domain. In this paper, a novel algorithm for extraction the scripts part of traditional Chinese painting images is proposed, including the motivations of the algorithm, the description of the algorithm, experiment results and its analysis. This algorithm is mainly based on color and structure feature of Chinese characters in the scripts part of traditional Chinese painting images. The algorithm is simple but has satisfactory efficiency.