Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1270-1274

Text detection based on stroke angle conversion and stroke width features in natural scene

Chen Shuo1,2
Zheng Jianbin1,2
Zhan Enqi1,2
Wang Yang1,2
1. College of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
2. Key Laboratory of Fiber Optic Sensing Technology & Information Processing for Ministry of Education, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2017.10.1019

Abstract

In order to reduce the missing detection and misclassification of text caused by uneven illumination and background complexity in text detection of natural scenes, this paper presented a natural scene text detection method based on stroke angle transformation and width features. Compared to non-text, the text has a more stable performance of stroke outline angle conversion times and stroke width. Therefore, this paper proposed methods of extracting the number of transformations of the outer corner of the stroke and the enhancement of the pixel area ratio of the stroke support. In order to extract the characteristics of angular conversion, it used the method of outer contour segmentation to calculate the number of conversion times. In order to extract the strokes width characteristics, it calculated the proportion of the width stable area in the total strokes area. To reduce rate of the text missing detection, it used multi-channel MSER to detect text candidate area. Candidate areas in all channels were merged to extract the stroke and texture features. It also adopted support vector machines combined with features to classify text and non-text. The simulations show that the accuracy and recall rate of the algorithm were 79.3% and 72.8% in the ICDAR2015 database, respectively. Moreover, it solves the problem of uneven illumination and complex background to some extent.

Foundation Support

国家自然科学基金资助项目(61303028)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.1019
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Graphic & Image
Pages: 1270-1274
Serial Number: 1001-3695(2019)04-069-1270-05

Publish History

[2019-04-05] Printed Article

Cite This Article

陈硕, 郑建彬, 詹恩奇, 等. 基于笔画角度变换和宽度特征的自然场景文本检测 [J]. 计算机应用研究, 2019, 36 (4): 1270-1274. (Chen Shuo, Zheng Jianbin, Zhan Enqi, et al. Text detection based on stroke angle conversion and stroke width features in natural scene [J]. Application Research of Computers, 2019, 36 (4): 1270-1274. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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