Chinese Handwriting Recognition Contest 2010

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Drawing and Recognizing Chinese Characters with Recurrent Neural Network (2016, methodology): “The database used for evaluation is from the ICDAR-2013 competition [19] of online Chinese handwriting recognition, which is a third version of the previous competitions held on CCPR-2010 [41] and ICDAR-2011 [42].”
Continuous Learning of Context-dependent Processing in Neural Networks (2018, background): “ng handwritten Chinese characters sequentially. In total there are 3755 characters forming the level I vocabulary, which constitutes more than 99% of the usage frequency in written Chinese literature [35] (see Fig. 2A for exemplars). We found that, combined with a pre-trained feature extractor (Tabl”
ICDAR 2013 Chinese Handwriting Recognition Competition (2013, methodology): “The test datasets which are unknown to all participants were collected for the competition in 2010 [2].”
Online and offline handwritten Chinese character recognition: Benchmarking on new databases (2013, methodology): “To organize the Chinese handwriting recognition contest at 2010 Chinese Conference on Pattern Recognition (CCPR) [3], we have released four databases of isolated handwritten characters: online databases CASIA-OLHWDB1.”