Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform

  • Sébastien Adam
  • Jean Marc. Ogier
  • Claude Cariou
  • Rémy Mullot
  • Joël Gardes
  • Jacques Labiche
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French Telephonic Operator, France Telecom. More precisely, we focus the content of this paper on the computation of a new set of features allowing the classification of multi-oriented and multi-scaled patterns. This set of Invariant is based on the Fourier Mellin Transform. The interests of this computation rely on the possibility to use this Fourier Mellin transform within a “filtering mode”, that permits to solve the well known difficult problem of connected character recognition. In this paper, we also present an original technique allowing to compute an estimation of the orientation of each shape to be recognized.

Keywords

Character Recognition Connected Pattern Zernike Moment Scale Estimation Moment Invariant 
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 2000

Authors and Affiliations

  • Sébastien Adam
    • 1
    • 3
  • Jean Marc. Ogier
    • 1
  • Claude Cariou
    • 2
  • Rémy Mullot
    • 1
  • Joël Gardes
    • 3
  • Jacques Labiche
    • 1
  1. 1.Laboratory PSIUniversity of RouenMont Saint AignanFrance
  2. 2.LASTIENSSAT LannionLannionFrance
  3. 3.France TélécomDVSI DES/MBLBelfortFrance

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