Deep Learning Based Scene Text Detection: A Survey

被引：0

作者：

Jiang W. ^{[1
]}

Zhang C.-S. ^{[2
]}

Yin X.-C. ^{[3
]}

机构：

[1] School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450045, Henan

[2] School of Computer and Information Engineering, Henan University, Kaifeng, 475001, Henan

[3] School of Computer and Communication Engineering, University of Science and Technology, Beijing

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 05期

关键词：

Deep learning; Scene text; Text detection;

D O I：

10.3969/j.issn.0372-2112.2019.05.024

中图分类号：

TB18 [人体工程学]; Q98 [人类学];

学科分类号：

030303 ; 1201 ;

摘要：

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. © 2019, Chinese Institute of Electronics. All right reserved.

引用

页码：1152 / 1161

页数：9

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