Indexing handwriting using word matching
Proceedings of the first ACM international conference on Digital libraries
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimedia Knowledge Exploitation for E-Learning: Some Enabling Techniques
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
Integration of Multiple Levels of Contour Information for Chinese-Character Stroke Extraction
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Stroke Extraction and Stroke Sequence Estimation on Signatures
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
The Earth Mover's Distance under Transformation Sets
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Representations and Metrics for Off-Line Handwriting Segmentation
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Technical issues on the China-US million book digital library project
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Visual information retrieval based on shape similarity
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Retrieval of chinese calligraphic character image
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Latent Style Model: Discovering writing styles for calligraphy works
Journal of Visual Communication and Image Representation
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Chinese calligraphy is a valuable civilization legacy and there are some web sites trying to help people enjoy and learn calligraphy. However, besides metadata-base searching, it is very difficult to find advanced services such as content-based retrieval or vivid writing process simulating for Chinese calligraphy. In this paper, a novel Chinese calligraphy retrieval and learning system is proposed: First, the scanned calligraphy pages were segmented into individual calligraphy characters using minimum-bounding box. Second, individual character's feature information was extracted and kept. Then, corresponding database was built to serve as a map between the feature data and the original data of individual character image. Finally, a retrieval engine was constructed and dynamic writing process was simulated to help learners get the calligraphy character they are interested in and watch how it was written.