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自然场景图像中的文本检测综述

  • Run Min Wang
  • , Nong Sang
  • , Ding Ding
  • , Jie Chen
  • , Qi Xiang Ye
  • , Chang Xin Gao
  • , Li Liu*
  • *此作品的通讯作者
  • Hunan Normal University
  • National University of Defense Technology
  • Huazhong University of Science and Technology
  • University of Oulu
  • University of Chinese Academy of Sciences

科研成果: 期刊稿件文献综述同行评审

摘要

In this paper, the research progress of natural scene text detection problems and methods are reviewed. Firstly, the characteristics of natural scene text are introduced, and the text detection technology research background, status and the main technical route are illustrated respectively. Secondly, from the perspective of traditional text detection and deep learning text detection, the merits and demerits of various methods are analyzed, and the technology of end-to-end text recognition is introduced. Then, the challenges of the natural scene text detection technology and the corresponding solutions are discussed. Finally, the benchmark datasets are enumerated, the evaluation methods and the performances of the most representative approaches are fundamentally compared. Furthermore, potential application and development trend in this field are summarized.

投稿的翻译标题Text Detection in Natural Scene Image: A Survey
源语言繁体中文
页(从-至)2113-2141
页数29
期刊Zidonghua Xuebao/Acta Automatica Sinica
44
12
DOI
出版状态已出版 - 12月 2018
已对外发布

关键词

  • Connected component analysis
  • Deep learning
  • Handcraft feature
  • Scene text
  • Text detection

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