Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition-Reference-Cited by-同舟云学术

Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition

Published:2021 Issue: Volume: Page:157-171
ISSN:0302-9743
Container-title:Document Analysis and Recognition – ICDAR 2021
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Author:

Peng Dezhi,Xie Canyu,Li Hongliang,Jin Lianwen,Xie Zecheng,Ding Kai,Huang Yichao,Wu Yaqiang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86334-0_11

Reference33 articles.

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3. Cai, M., Huo, Q.: Compact and efficient WFST-based decoders for handwriting recognition. In: ICDAR, pp. 143–148 (2017)

4. Lecture Notes in Computer Science;N Carion,2020

5. Chen, K., et al.: A compact CNN-DBLSTM based character model for online handwritten Chinese text recognition. In: ICDAR, pp. 1068–1073 (2017)

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