Corpus-based HIT-MW database for offline recognition of general-purpose Chinese handwritten text
International Journal on Document Analysis and Recognition
A Quick Search Engine for Historical Chinese Calligraphy Character Image
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
Latent Style Model: Discovering writing styles for calligraphy works
Journal of Visual Communication and Image Representation
CalliGUI: Interactive Labeling of Calligraphic Character Images
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Visual verification of historical chinese calligraphy works
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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A set of 13,351 digitized calligraphic characters were segmented and labeled, with 12,918 characters extracted from 21 books scanned by the CADAL scanning center located in Zhejiang University's library, and 1443 characters from calligraphy works from web sources. The database contains calligraphy from 208 works, some from over 1000 years ago. Statistics are provided on provenance, character size and shape, and label frequency distribution. Specific problems encountered in creating a calligraphic database are illustrated and discussed. Progress is reported on a classifier-based interactive labeling system that halves the human labor necessary to expand the database.