Generating Realistic Kanji Character Images from On-Line Patterns
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Generation of Artistic Chinese Calligraphy
IEEE Intelligent Systems
Model-based analysis of Chinese calligraphy images
Computer Vision and Image Understanding
An intelligent system for Chinese calligraphy
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Technical Section: Realistic synthesis of cao shu of Chinese calligraphy
Computers and Graphics
Retrieval of chinese calligraphic character image
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Chinese calligraphy specific style rendering system
Proceedings of the 10th annual joint conference on Digital libraries
Asset digitization: moving beyond facsimile
SIGGRAPH Asia 2012 Technical Briefs
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There are lots of digitized calligraphy works written by ancient famous calligraphists in CADAL (China-America Digital Academic Library) digital library. To make use of these resources, users want to generate a tablet or a piece of calligraphic works written by some ancient famous calligraphist. But some characters in the tablet or the calligraphic work hadn't been written by the calligraphist or though were ever written but are hard to read because of long time weathering. In this paper, a novel approach is proposed to synthesize Chinese calligraphic characters which are in the same style of some calligraphist, and a corresponding system is developed for calligraphy works generation and tablets design. Calligraphic character is represented by a three-level hierarchical model. A novel approach for determining the character structure is proposed, which takes advantage of both the structure of the same characters of different styles and the structure of similar characters of the same style. A style evaluation model (SEM) is presented to evaluate whether the calligraphic character generated is in the same style of the specified calligraphist and to adjust the calligraphic character generated. Our experiments show that this system is effective.