Scene Text Detection with Polygon Offsetting and Border Augmentation

Electronics

Thananop Kobchaisawat¹  ThanaratH. Chalidabhongse¹  Shin’ichi Satoh² 

[1] Department of Computer Engineering, Chulalongkorn University, Bangkok 10330, Thailand;National Institute of Informatics, Tokyo 101-8430, Japan;

关键词: scene text detection;    curved text detection;    convolutional neural networks;   

DOI  :  10.3390/electronics9010117

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown