Robust encoder-decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network-Reference-Cited by-同舟云学术

Robust encoder-decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network

Published:2020-05-27 Issue:3 Volume:64 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Shan Guangcun,Wang Hongyu,Liang Wei,Chen Kai

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s11432-018-9824-9.pdf

Reference7 articles.

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2. Lavirotte S, Pottier L. Mathematical formula recognition using graph grammar. In: Proceedings of SPIE, 1998. 3305: 44–52

3. Chan K F, Yeung D Y. Error detection, error correction and performance evaluation in online mathematical expression recognition. Pattern Recogn, 2001, 34: 1671–1684

4. Yamamoto R. On-line recognition of handwritten mathematical expression based on stroke-based stochastic context-free grammar. In: Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, La Baule, 2006

5. MacLean S, Labahn G. A new approach for recognizing handwritten mathematics using relational grammars and fuzzy sets. Int J Document Anal Recogn, 2013, 16: 139–163

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