Chinese Calligraphy Character Image Synthesis Based on Retrieval
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Chinese calligraphy specific style rendering system
Proceedings of the 10th annual joint conference on Digital libraries
Outline font generating from images of ancient Chinese calligraphy
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A novel methodology is proposed to capture character contours from images of ancient Chinese calligraphy which mainly includes two steps: feature points detecting from character contours and contour segment approximating. A new feature-point-detection method called PCACSS (prin- ciple component analysis based curvature scale space) is thus proposed. Compared with several existing methods for feature-point-detection, it is robust to noise and can accu- rately detect feature points from character contours auto- matically. With feature points determined by PCACSS, the character contours are divided into some contour segments, each contour segment is then approximated with a straight line or Bézier curve depending on the least square error. The proposed method has been implemented and tested on a wide variety of calligraphy images. Resultant outline fonts captured from calligraphy images with our method are vi- sual pleasing as demonstrated by the examples shown in this paper.