A robust and efficient algorithm for Chinese historical document analysis and recognition

This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor.

Detalles Bibliográficos
Autores principales: Liu, Chongyu, Jian, Cheng, Huang, Jiarong, Yang, Wentao, Shi, Yongxin, Jiang, Qing, Jin, Lianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
PERSPECTIVE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246825/
https://www.ncbi.nlm.nih.gov/pubmed/37292085
http://dx.doi.org/10.1093/nsr/nwad115
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author Liu, Chongyu
Jian, Cheng
Huang, Jiarong
Yang, Wentao
Shi, Yongxin
Jiang, Qing
Jin, Lianwen
author_facet Liu, Chongyu
Jian, Cheng
Huang, Jiarong
Yang, Wentao
Shi, Yongxin
Jiang, Qing
Jin, Lianwen
author_sort Liu, Chongyu
collection PubMed
description This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor.
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spelling pubmed-102468252023-06-08 A robust and efficient algorithm for Chinese historical document analysis and recognition Liu, Chongyu Jian, Cheng Huang, Jiarong Yang, Wentao Shi, Yongxin Jiang, Qing Jin, Lianwen Natl Sci Rev PERSPECTIVE This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor. Oxford University Press 2023-04-25 /pmc/articles/PMC10246825/ /pubmed/37292085 http://dx.doi.org/10.1093/nsr/nwad115 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle PERSPECTIVE
Liu, Chongyu
Jian, Cheng
Huang, Jiarong
Yang, Wentao
Shi, Yongxin
Jiang, Qing
Jin, Lianwen
A robust and efficient algorithm for Chinese historical document analysis and recognition
title A robust and efficient algorithm for Chinese historical document analysis and recognition
title_full A robust and efficient algorithm for Chinese historical document analysis and recognition
title_fullStr A robust and efficient algorithm for Chinese historical document analysis and recognition
title_full_unstemmed A robust and efficient algorithm for Chinese historical document analysis and recognition
title_short A robust and efficient algorithm for Chinese historical document analysis and recognition
title_sort robust and efficient algorithm for chinese historical document analysis and recognition
topic PERSPECTIVE
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246825/
https://www.ncbi.nlm.nih.gov/pubmed/37292085
http://dx.doi.org/10.1093/nsr/nwad115
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