Abstract
In this paper, we present a new scene text detection approach with cascaded filtering and grouping modules. Firstly, a coarse-to-fine distance based pair validation scheme is proposed to determine the pairwise relations of character candidates after the extraction and filtering of Extremal Regions. Secondly, an additional module is added to detect text lines with single character or two characters behind the text lines’ grouping module. Thirdly, a text-line-level classifier based on the similarity of characters is designed to exclude non-text objects. Experimental results on ICDAR 2011 and ICDAR 2013 robust reading competition datasets demonstrate that our method yields state-of-the-art performance both in recall and precision.
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Acknowledgments
This work was supported in part by the Natural Science Foundation of China under Grant 61301106, 61327013 and U1611461.
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Zhang, L., Xiang, X. (2018). Scene Text Detection with Cascaded Filtering and Grouping Modules. In: Huet, B., Nie, L., Hong, R. (eds) Internet Multimedia Computing and Service. ICIMCS 2017. Communications in Computer and Information Science, vol 819. Springer, Singapore. https://doi.org/10.1007/978-981-10-8530-7_46
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DOI: https://doi.org/10.1007/978-981-10-8530-7_46
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