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2016

Scene text detection and recognition: recent advances and future trends

3 years 16 days ago
Scene text detection and recognition: recent advances and future trends
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, 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 refe...
Yingying Zhu, Cong Yao, Xiang Bai
Added 03 Apr 2016
Updated 03 Apr 2016
Type Journal
Year 2016
Where FCSC
Authors Yingying Zhu, Cong Yao, Xiang Bai
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