Character Segmentation-by-Recognition Using Log-Gabor Filters

  • Authors:
  • Celine Mancas-Thillou;Bernard Gosselin

  • Affiliations:
  • Faculte Polytechnique de Mons, Avenue Copernic 1, 7000 Mons, Belgium;Faculte Polytechnique de Mons, Avenue Copernic 1, 7000 Mons, Belgium

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
  • Year:
  • 2006

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Abstract

Natural scene images coming usually from lowresolution sensors in embedded context suffer from low text recognition results. Due to several types of degradations, existing algorithms are not robust enough. In order to improve recognition, we present in this paper a character segmentation using Log-Gabor filters to take advantage simultaneously of gray-level variation and spatial location. The recognition step is used to determine dynamically some of the parameters needed for the filter. Finally, several quantified results are presented to highlight the efficiency of this method against several issues.