ETRI Journal

  • 제35권3호
  • /
  • Pages.491-500
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  • 2013
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Best Combination of Binarization Methods for License Plate Character Segmentation

  • Yoon, Youngwoo (IT Convergence Technology Research Laboratory, ETRI) ;
  • Ban, Kyu-Dae (IT Convergence Technology Research Laboratory, ETRI) ;
  • Yoon, Hosub (IT Convergence Technology Research Laboratory, ETRI) ;
  • Lee, Jaeyeon (IT Convergence Technology Research Laboratory, ETRI) ;
  • Kim, Jaehong (IT Convergence Technology Research Laboratory, ETRI)
  • 투고 : 2012.08.13
  • 심사 : 2013.02.22
  • 발행 : 2013.06.01
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⟨ 이전 논문 다음 논문 ⟩

초록

A connected component analysis from a binary image is a popular character segmentation method but occasionally fails to segment the characters owing to image noise and uneven illumination. A multimethod binarization scheme that incorporates two or more binary images is a novel solution, but selection of binarization methods has never been analyzed before. This paper reveals the best combination of binarization methods and parameters and presents an in-depth analysis of the multimethod binarization scheme for better character segmentation. We carry out an extensive quantitative evaluation, which shows a significant improvement over conventional single-method binarization methods. Experiment results of six binarization methods and their combinations with different test images are presented.

키워드

참고문헌

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