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The Color Polarity Method for Binarization of Text Region in Digital Video

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(9), pp.21-28
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jeong, Jong Myeon 1

1목포해양대학교

Accredited

ABSTRACT

Color polarity classification is a process to determine whether the color of text is bright or dark and it is prerequisite task for text extraction. In this paper, we propose a color polarity method to extract text region. Based on the observation for the text and background regions, the proposed method uses the ratios of sizes and standard deviations of bright and dark regions. At first, we employ Otsu's method for binarization for gray scale input region. The two largest segments among the bright and the dark regions are selected and the ratio of their sizes is defined as the first measure for color polarity classification. Again, we select the segments that have the smallest standard deviation of the distance from the center among two groups of regions and evaluate the ratio of their standard deviation as the second measure. We use these two ratio features to determine the text color polarity. The proposed method robustly classify color polarity of the text, which has shown by experimental result for the various font and size.

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* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.
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