Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s00371-020-01799-4.pdf
Reference61 articles.
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3. Zhou, X.-D., Wang, D.-H., Tian, F., Liu, C.-L., Nakagawa, M.: Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 35(10), 2413–2426 (2013)
4. Zhou, X.-D., Zhang, Y.-M., Tian, F., Wang, H.-A., Liu, C.-L.: Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition. Pattern Recognit. 47(5), 1904–1916 (2014)
5. Wu, Y.-C., Yin, F., Liu, C.-L.: Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models. Pattern Recognit. 65, 251–264 (2017)
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