Scene text detection and recognition with advances in deep learning: a survey

Scene text detection and recognition has become a very active research topic in recent several years. It can find many applications in reality ranging from navigation for vision-impaired people to semantic natural scene understanding. In this survey, we are intended to give a thorough and in-depth r...

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Vydáno v:International journal on document analysis and recognition Ročník 22; číslo 2; s. 143 - 162
Hlavní autoři: Liu, Xiyan, Meng, Gaofeng, Pan, Chunhong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019
Springer Nature B.V
Témata:
Computer Science
Datasets
Deep learning
Image classification
Image detection
Image management
Image Processing and Computer Vision
Image retrieval
Object recognition
Original Paper
Pattern Recognition
Scene analysis
Survey
Text recognition
Natural image
Text detection
ISSN:1433-2833, 1433-2825
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Shrnutí:Scene text detection and recognition has become a very active research topic in recent several years. It can find many applications in reality ranging from navigation for vision-impaired people to semantic natural scene understanding. In this survey, we are intended to give a thorough and in-depth reviews on the recent advances on this topic, mainly focusing on the methods that appeared in the past 5 years for text detection and recognition in images and videos, including the recent state-of-the-art techniques on the following three related topics: (1) scene text detection, (2) scene text recognition and (3) end-to-end text recognition system. Compared with the previous survey, this survey pays more attention to the application of deep learning techniques on scene text detection and recognition. We also give a brief introduction of other related works such as script identification, text/non-text classification and text-to-image retrieval. This survey also reviews and summarizes some benchmark datasets that are widely used in the literature. Based on these datasets, performances of state-of-the-art approaches are shown and discussed. Finally, we conclude this survey by pointing out several potential directions on scene text detection and recognition that need to be well explored in the future.
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ISSN:1433-2833
1433-2825
DOI:10.1007/s10032-019-00320-5