Two Approaches for Text Segmentation in Web Images

  • Authors:
  • D. Karatzas;A. Antonacopoulos

  • Affiliations:
  • -;-

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
  • Year:
  • 2003

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Abstract

There is a significant need to recognise the text inimages on web pages, both for effective indexing and forpresentation by non-visual means (e.g., audio). Thispaper presents and compares two novel methods for thesegmentation of characters for subsequent extraction andrecognition. The novelty of both approaches is thecombination of (different in each case) topologicalfeatures of characters with an anthropocentricperspective of colour perception- in preference to RGBspace analysis. Both approaches enable the extraction oftext in complex situations such as in the presence ofvarying colour and texture (characters and background).