FINet: Handwriting trajectory reconstruction of Chinese characters based on the font imitate network-Reference-Cited by-同舟云学术

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FINet: Handwriting trajectory reconstruction of Chinese characters based on the font imitate network

Published:2025-01 Issue: Volume:157 Page:110949
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhu Yuanping^ORCID,Li Shengnan,Wang Hui,Wei Feilong

Funder

Tianjin Municipal Natural Science Foundation

Publisher

Elsevier BV

Reference38 articles.

1. Trace: a differentiable approach to line-level stroke recovery for offline handwritten text;Archibald,2021

2. Artificial neural networks for document analysis and recognition;Marinai;IEEE Trans. Pattern Anal. Mach. Intell.,2005

3. Drawing order recovery based on deep learning;Zhang,2019

4. Online and off-line handwriting recognition: a comprehensive survey;Plamondon;IEEE Trans. Pattern Anal. Mach. Intell.,2000

5. Drawing and recognizing chinese characters with recurrent neural network;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2017

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