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Springer International Publishing
Reference28 articles.
1. Mouchère, H., Zanibbi, R., Garain, U., Viard-Gaudin, C.: Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014. International Journal on Document Analysis and Recognition (IJDAR) 19(2), 173–189 (2016). https://doi.org/10.1007/s10032-016-0263-5
2. Zhu, Y., Xie, Z., Jin, L., Chen, X., Huang, Y., Zhang, M.: SCUT-EPT: new dataset and benchmark for offline Chinese text recognition in examination paper. IEEE Access 7, 370–382 (2019)
3. Clanuwat, T., Bober-Irizar, M., Kitamoto, A., Lamb, A., Yamamoto, K., Ha, D.: Deep learning for classical Japanese literature. In: The Neural Information Processing Systems - Workshop on Machine Learning for Creativity and Design (2018)
4. Xu, Y., Yin, F., Wang, D.H., Zhang, X.Y., Zhang, Z., Liu, C.L.: CASIA-AHCDB: a large-scale chinese ancient handwritten characters database. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 793–798 (2019)
5. Graves, A., Liwicki, M., Fernández, S., Bertolami, R., Bunke, H., Schmidhuber, J.: A novel connectionist system for unconstrained handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31, 855–868 (2009)
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