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Open AccessArticle

Scene Text Detection with Polygon Offsetting and Border Augmentation

1
Department of Computer Engineering, Chulalongkorn University, Bangkok 10330, Thailand
2
Center of Excellence in Infrastructure Management, Chulalongkorn University, Bangkok 10330, Thailand
3
Research Group on Applied Computer Engineering Technology for Medicine and Healthcare, Chulalongkorn University, Bangkok 10330, Thailand
4
National Institute of Informatics, Tokyo 101-8430, Japan
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(1), 117; https://doi.org/10.3390/electronics9010117
Received: 1 November 2019 / Revised: 30 November 2019 / Accepted: 23 December 2019 / Published: 8 January 2020
(This article belongs to the Section Computer Science & Engineering)
Scene text localization is a very crucial step in the issue of scene text recognition. The major challenges—such as how there are various sizes, shapes, unpredictable orientations, a wide range of colors and styles, occlusion, and local and global illumination variations—make the problem different from generic object detection. Unlike existing scene text localization methods, here we present a segmentation-based text detector which can detect an arbitrary shaped scene text by using polygon offsetting, combined with the border augmentation. This technique better distinguishes contiguous and arbitrary shaped text instances from nearby non-text regions. The quantitative experimental results on public benchmarks, ICDAR2015, ICDAR2017-MLT, ICDAR2019-MLT, and Total-Text datasets demonstrate the performance and robustness of our proposed method, compared to previous approaches which have been proposed.
Keywords: scene text detection; curved text detection; convolutional neural networks scene text detection; curved text detection; convolutional neural networks
MDPI and ACS Style

Kobchaisawat, T.; Chalidabhongse, T.H.; Satoh, S. Scene Text Detection with Polygon Offsetting and Border Augmentation. Electronics 2020, 9, 117.

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