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

Guangcun Shan; Hongyu Wang; Wei Liang; Kai Chen

doi:10.1007/s11432-018-9824-9

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

Guangcun Shan^*
, Hongyu Wang
, Wei Liang
, Kai Chen

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University
Chinese Academy of Sciences
University of Chinese Academy of Sciences
Boheng Technology (Hangzhou) Co. Ltd

Research output: Contribution to journal › Letter › peer-review

15 Scopus citations

Original language	English
Article number	139101
Journal	Science China Information Sciences
Volume	64
Issue number	3
DOIs	https://doi.org/10.1007/s11432-018-9824-9
State	Published - 1 Mar 2021

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10.1007/s11432-018-9824-9

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

author = "Guangcun Shan and Hongyu Wang and Wei Liang and Kai Chen",

year = "2021",

month = mar,

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doi = "10.1007/s11432-018-9824-9",

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T1 - Robust encoder-decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network

AU - Shan, Guangcun

AU - Wang, Hongyu

AU - Liang, Wei

AU - Chen, Kai

PY - 2021/3/1

Y1 - 2021/3/1

UR - https://www.scopus.com/pages/publications/85088788979

U2 - 10.1007/s11432-018-9824-9

DO - 10.1007/s11432-018-9824-9

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SN - 1674-733X

VL - 64

JO - Science China Information Sciences

JF - Science China Information Sciences

IS - 3

M1 - 139101

ER -

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

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