Review of Semi-Structured Document Information Extraction Techniques Based on Deep Learning-Reference-Cited by-同舟云学术

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Review of Semi-Structured Document Information Extraction Techniques Based on Deep Learning

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM)
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Author:

Li Yangchun¹,Jiang Wei²,Song Shouyou³

Affiliation:

1. Chinese Academy of Cybersapce Studies School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China

2. Chinese Academy of Cybersapce Studies,Beijing,China

3. Chinese Academy of Cybersapce Studies, Ministry of Education, Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service (BUPT),Beijing,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339379/10339284/10339515.pdf?arnumber=10339515

Reference50 articles.

1. Optical character recognition[M];Mori;John Wiley & Sons, Inc.,1999

2. Review of research on deep learning - based scene text detection [J];Jiang;Acta Electronica Sinica,2019

3. Review of research on scene text recognition technology[J];Wang;Computer Engineering and Applications,2020

4. Review of natural scene text detection and recognition based on deep learning[J];Wang;Journal of Software,2020

5. Application of scene text recognition technology based on deep learning: A survey[J];Liu;Computer Engineering and Applications,2022

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