ICDAR 2011 Chinese Handwriting Recognition Competition

Authors:
Cheng-Lin Liu;Fei Yin;Qiu-Feng Wang;Da-Han Wang
Affiliations:
-;-;-;-
Venue:
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Year:
2011

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Abstract

In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.