Research Article
Text Detection in Natural Scene Image: A Survey
@INPROCEEDINGS{10.1007/978-3-319-52730-7_26, author={Shupeng Wang and Chenglin Fu and Qi Li}, title={Text Detection in Natural Scene Image: A Survey}, proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers}, proceedings_a={MLICOM}, year={2017}, month={2}, keywords={Text detection Natural scene image Text information}, doi={10.1007/978-3-319-52730-7_26} }- Shupeng Wang
Chenglin Fu
Qi Li
Year: 2017
Text Detection in Natural Scene Image: A Survey
MLICOM
Springer
DOI: 10.1007/978-3-319-52730-7_26
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.
