A hierarchical classifier for multifont digits

  • C. Rodriguez
  • J. Muguerza
  • M. Navarro
  • A. Zárate
  • J. I. Mar'in
  • J. M. Pérez
Poster Papers

DOI: 10.1007/BFb0033322

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)
Cite this paper as:
Rodriguez C., Muguerza J., Navarro M., Zárate A., Mar'in J.I., Pérez J.M. (1998) A hierarchical classifier for multifont digits. In: Amin A., Dori D., Pudil P., Freeman H. (eds) Advances in Pattern Recognition. SSPR /SPR 1998. Lecture Notes in Computer Science, vol 1451. Springer, Berlin, Heidelberg

Abstract

In this paper, the automatic recognition of broken and blurred, multifont typewritten digits in forms will be addressed. The classification, which is based on the utilization of a global feature, is divided in two phases: first, a minimum distance method (1-NN) is applied to provide a global classification of the patterns in a form; second, the patterns in the form previously classified are used to validate, or reject and reclassify them, on the basis of the mean distance to the predefined classes. In this way, a classification accuracy rate of 99.42% has been achieved.

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Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • C. Rodriguez
    • 1
  • J. Muguerza
    • 1
  • M. Navarro
    • 1
  • A. Zárate
    • 1
  • J. I. Mar'in
    • 1
  • J. M. Pérez
    • 1
  1. 1.Computer Architecture and Technology DepartmentThe Basque Country University (UPV/EHU)DonostiaSpain

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