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A Study on Localization of Text in Natural Scene Images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(5), pp.77-84
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

최미영 1,  Gye-young Kim 1,  HYUNG IL CHOI 1

1숭실대학교

Accredited

ABSTRACT

This paper proposes a new approach to eliminate the reflectance component for the localization of text in natural scene images. Natural scene images normally have an illumination component as well as a reflectance component. It is well known that a reflectance component usually obstructs the task of detecting and recognizing objects like texts in the scene, since it blurs out an overall image. We have developed an approach that efficiently removes reflectance components while preserving illumination components. We decided whether an input image hits Normal or Polarized for determining the light environment, using the histogram which consisted of a red component. In the normal image, we acquired the text region without additional processing. Otherwise we removed light reflecting from the object using homomorphic filtering in the polarized image. And then this decided the each text region based on the color merging technique and the Saliency Map. Finally, we localized text region on these two candidate regions.

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