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Extraction and Merging of Stroke Structure of Chinese Characters

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Advances in Visual Computing (ISVC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13017))

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Abstract

Chinese characters are complex graphics with strokes as the basic unit. In order to analyze their structure, stroke extraction is the first step. This paper presents an automatic extraction method of Chinese character strokes, which regards the extraction of Chinese character strokes as finding the optimal path and merging. Based on the superpixel network, the path network is applied to enumerate all possible stroke segments. Then, the repeated strokes are merged according to the Intersection over Union. Experimental results show that the method can effectively extract accurate strokes and obtain single strokes with high-level semantic features and complete information.

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Acknowledgement

This work was supported in part by the University Innovation Team Project of Jinan (2019GXRC015), and in part by Key Science & Technology Innovation Project of Shandong Province (2019JZZY010324).

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Shu, J., Chen, Y., Cao, Y., Zhao, Y. (2021). Extraction and Merging of Stroke Structure of Chinese Characters. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), vol 13017. Springer, Cham. https://doi.org/10.1007/978-3-030-90439-5_13

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  • DOI: https://doi.org/10.1007/978-3-030-90439-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90438-8

  • Online ISBN: 978-3-030-90439-5

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