A novel approach for text detection in images using structural features

  • Authors:

  • H. Tran;A. Lux;T. H. L. Nguyen;A. Boucher

  • Affiliations:

  • Institut National Polytechnique de Grenoble, Laboratory GRAVIR, INRIA Rhone-Alpes, France;Institut National Polytechnique de Grenoble, Laboratory GRAVIR, INRIA Rhone-Alpes, France;International Research Center MICA, Hanoi University of Technology, Hanoi, VietNam;Institut de la Francophonie pour l'Informatique

  • Venue:
  • ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
  • Year:
  • 2005

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Abstract

We propose a novel approach for finding text in images by using ridges at several scales. A text string is modelled by a ridge at a coarse scale representing its center line and numerous short ridges at a smaller scale representing the skeletons of characters. Skeleton ridges have to satisfy geometrical and spatial constraints such as the perpendicularity or non-parallelism to the central ridge. In this way, we obtain a hierarchical description of text strings, which can provide direct input to an OCR or a text analysis system. The proposed method does not depend on a particular alphabet, it works with a wide variety in size of characters and does not depend on orientation of text string. The experimental results show a good detection.