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Zoning design for handwritten numeral recognition

  • G. Dimauro
  • S. Impedovo
  • G. Pirlo
  • A. Salzo
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

This paper presents a new approach for zoning design. The approach is based on a techinque which detects the most discriminant image regions by the analysis of feature distributions, and obtains the zoning by an iterative zone-growing process. An application to handwritten numeral recognition is also reported showing the effectiveness of the proposed approach.

Keywords

Handwriting Recognition Discrimination Capability Handwritten Digit Recognition Handwritten Numeral Handwritten Word Recognition 
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 1997

Authors and Affiliations

  • G. Dimauro
    • 1
  • S. Impedovo
    • 1
  • G. Pirlo
    • 1
  • A. Salzo
    • 1
  1. 1.Dipartimento di InformaticaUniversità di BariBariItaly

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