CalliGUI: Interactive Labeling of Calligraphic Character Images

Calligraphic data entry is accelerated by generating, with a feature-based character classifier, an ordered list of reference candidate labels for each character image. The improvement of labeling throughput depends on the top-N accuracy of the classifier, which in turn is a function of the available already-labeled patterns. Experiments on a database of 13,351 ancient calligraphic characters indicate that clicking on reference labels is more than twice as fast as Pinyin keyboard entry.

[1]  Dai Ruwei,et al.  Chinese character recognition: history, status and prospects , 2007 .

[2]  Yueting Zhuang,et al.  Visual Verification of Historical Chinese Calligraphy Works , 2007, MMM.

[3]  Yueting Zhuang,et al.  Latent Style Model: Discovering writing styles for calligraphy works , 2009, J. Vis. Commun. Image Represent..

[4]  George Nagy,et al.  The CADAL calligraphic database , 2011, HIP '11.

[5]  Jiangqin Wu,et al.  A Quick Search Engine for Historical Chinese Calligraphy Character Image , 2008, 2008 Congress on Image and Signal Processing.

[6]  Baihua Xiao,et al.  Chinese character recognition: history, status and prospects , 2007, Frontiers of Computer Science in China.

[7]  David S. Doermann,et al.  The detection of duplicates in document image databases , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.