A simple method for classification of traditional Chinese Painting and Calligraphy images

Abstract

Traditional Chinese Painting and Calligraphy are unique forms of art and highly regarded for their theory, expression and techniques throughout the world. More and more popular image processing techniques have been used in this specific domain. The emphasis of traditional Chinese Painting and Calligraphy research is not the same, so traditional Chinese Painting and Calligraphy images should be classified before they are processed. In this paper, a simple and efficient classification method is proposed. The key motivation is the structure of Chinese characters and the difference of image composition between Traditional Chinese Painting and Calligraphy. At last, the algorithm is implemented and the results demonstrate the algorithm has satisfactory efficiency.