Journal of Computing Science and Engineering

  • 제8권3호
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  • Pages.149-156
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  • 2014
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  • 1976-4677(pISSN)
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  • 2093-8020(eISSN)
한국정보과학회 (Korean Institute of Information Scientists and Engineers)
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Stroke Width Based Skeletonization for Text Images

  • Nguyen, Minh Hieu (Dept. of Electronics and Computer Eng., Chonnam National University) ;
  • Kim, Soo-Hyung (Dept. of Electronics and Computer Eng., Chonnam National University) ;
  • Yang, Hyung Jeong (Dept. of Electronics and Computer Eng., Chonnam National University) ;
  • Lee, Guee Sang (Dept. of Electronics and Computer Eng., Chonnam National University)
  • 투고 : 2014.06.12
  • 심사 : 2014.07.29
  • 발행 : 2014.09.30
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초록

Skeletonization is a morphological operation that transforms an original object into a subset, which is called a 'skeleton'. Skeletonization has been intensively studied for decades and is a challenging issue especially for special target objects. This paper proposes a novel approach to the skeletonization of text images based on stroke width detection. First, the preliminary skeleton is detected by using a Canny edge detector with a Tensor Voting framework. Second, the preliminary skeleton is smoothed, and junction points are connected by interpolation compensation. Experimental results show the validity of the proposed approach.

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참고문헌

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