Abstract
Text detection in natural scene image is the extraction of the text regions from a natural scene image. The extraction information can be used in the system of text recognition. The texts in natural scene image contain important information. Text detection is an important prerequisite for many computer vision applications, such as license plate recognitions system, information filtering system, automatic navigation and so on. Text detection as a real-life application has to quickly and successfully process the texts in different fonts and under different environmental conditions. It should also be generalized to process texts in different languages and directions. We categorize different text detection techniques according to the methods used for each stage, and compare them in terms of merits, demerits and performance. Feature forecasts of text detection in natural scene image are given at the end.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, S., Fu, C., Li, Q. (2017). Text Detection in Natural Scene Image: A Survey. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_26
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DOI: https://doi.org/10.1007/978-3-319-52730-7_26
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