Online and offline handwritten Chinese character recognition: Benchmarking on new databases

By Chenglin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang. 2013

335 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Johan Hall
2. Jia-Nan Wu
3. Håkan Grahn
4. H. Kusetogullari
5. Abbas Cheddad
6. Amir Yavariabdi

Citations in the corpus

• Compression of fully-connected layer in neural network by Kronecker product (2015, methodology): “Our experiments are done on a private dataset for the moment and may extend to other established Chinese character recognition datasets like HCL2000(Zhang et al. (2009)) and CASIA-HWDB(Liu et al. (2013)).”
• Drawing and Recognizing Chinese Characters with Recurrent Neural Network (2016, unknown): “19% Traditional Benchmark [47] 120.”
• ARDIS: a Swedish historical handwritten digit dataset (2019, methodology): “CASIA-HWDB dataset CASIA-HWDB [61] dataset contains three different datasets.”