Scene Text Extraction in Complex Images

  • Hye-Ran Byun
  • Myung-Cheol Roh
  • Kil-Cheon Kim
  • Yeong-Woo Choi
  • Seong-Whan Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

Abstract

Text extraction and recognition from still and moving images have many important applications. But, when a source image is an ordinary natural scene, text extraction becomes very complicated and difficult. In this paper, we suggest text extraction methods based on color and gray information. The method using the color image is processed by color reduction, color clustering, and text region extraction and verifications. The method using the gray-level image is processed by edge detection, long line removal, repetitive run-length smearing (RLS), and text region extraction and verifications. Combining two approaches improves the extraction accuracies both in simple and in complex images. Also, estimating skew and perspective of the extracted text regions are considered.

Keywords

Text Line Complex Image Text Region Text Extraction Color Reduction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Hye-Ran Byun
    • 1
  • Myung-Cheol Roh
    • 2
  • Kil-Cheon Kim
    • 1
  • Yeong-Woo Choi
    • 3
  • Seong-Whan Lee
    • 2
  1. 1.Dept. of Computer ScienceYonsei UniversitySeoulKorea
  2. 2.Dept. of Computer Science and EngineeringKorea UniversitySeoulKorea
  3. 3.Dept. of Computer ScienceSookmyung Woman’s UniversitySeoulKorea

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