Scene text detection and recognition: recent advances and future trends

doi:10.1007/s11704-015-4488-0

Front. Comput. Sci.

2016, Vol. 10

Issue (1) : 19-36 https://doi.org/10.1007/s11704-015-4488-0

REVIEW ARTICLE

Scene text detection and recognition: recent advances and future trends

Yingying ZHU,Cong YAO,Xiang BAI(

)

School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan 430074, China

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Abstract

Text, as one of the most influential inventions of humanity, has played an important role in human life, so far from ancient times. The rich and precise information embodied in text is very useful in a wide range of vision-based applications, therefore text detection and recognition in natural scenes have become important and active research topics in computer vision and document analysis. Especially in recent years, the community has seen a surge of research efforts and substantial progresses in these fields, though a variety of challenges (e.g. noise, blur, distortion, occlusion and variation) still remain. The purposes of this survey are three-fold: 1) introduce up-to-date works, 2) identify state-of-the-art algorithms, and 3) predict potential research directions in the future. Moreover, this paper provides comprehensive links to publicly available resources, including benchmark datasets, source codes, and online demos. In summary, this literature review can serve as a good reference for researchers in the areas of scene text detection and recognition.

Keywords text detection text recogntion natural image algorithms applications

Corresponding Author(s): Xiang BAI

Just Accepted Date: 18 March 2015 Issue Date: 06 January 2016

Cite this article:

Yingying ZHU,Cong YAO,Xiang BAI. Scene text detection and recognition: recent advances and future trends[J]. Front. Comput. Sci., 2016, 10(1): 19-36.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-015-4488-0
https://academic.hep.com.cn/fcs/EN/Y2016/V10/I1/19

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