Deep Learning Based Scene Text Detection: A Survey

JIANG Wei; ZHANG Chong-sheng; YIN Xu-cheng

doi:10.3969/j.issn.0372-2112.2019.05.024

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Deep Learning Based Scene Text Detection: A Survey

更新时间：2025-07-16

- Deep Learning Based Scene Text Detection: A Survey
- Acta Electronica Sinica Vol. 47, Issue 5, Pages: 1152-1161(2019)
- 作者机构：
  
  1. 华北水利水电大学信息工程学院,河南,郑州,450045
  2. 河南大学计算机与信息工程学院,河南,开封,475001
  3. 北京科技大学计算机与通信工程学院,北京,100083
  4. 华北水利水电大学信息工程学院,河南,郑州,450045
  5. 河南大学计算机与信息工程学院,河南,开封,475001
  6. 北京科技大学计算机与通信工程学院,北京,100083
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61601184, No.61562058);Key Scientific Research Programs of colleges and universities of Henan Province (No.16A520018)
- DOI：10.3969/j.issn.0372-2112.2019.05.024
  CLC： TP391
- Published Online：25 May 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
JIANG Wei, ZHANG Chong-sheng, YIN Xu-cheng. Deep Learning Based Scene Text Detection: A Survey[J]. Acta Electronica Sinica, 2019, 47(5): 1152-1161.
DOI：

JIANG Wei, ZHANG Chong-sheng, YIN Xu-cheng. Deep Learning Based Scene Text Detection: A Survey[J]. Acta Electronica Sinica, 2019, 47(5): 1152-1161. DOI： 10.3969/j.issn.0372-2112.2019.05.024.

摘要

近年来，基于深度学习的场景文字检测技术取得重要进展.本文综述了该技术在2014~2018年间的最新工作，将其分为传统区域建议方法、文字建议网络方法、基于分割的方法以及文字建议网络与分割的混合方法，并对各类方法的优劣进行分析.本文还展望了未来发展趋势，指出未来研究热点.

Abstract

In recent years

deep learning based scene text detection have achieved significant progress.The paper reviews state-of-the-art methods in the field from 2014-2018.We categorize existing methods into traditional Region Proposal based method

Text Proposal Network method

segmentation based method and hybrid method based on Text Proposal Network and segmentation with detailed analysis of pros and cons for the four methods.Finally

we point out research trends and focuses in this field.

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