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Edit Distance for Ordered Vector Sets: A Case of Study

  • Juan Ramón Rico-Juan
  • José M. Iñesta
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4109)

Abstract

Digital contours in a binary image can be described as an ordered vector set. In this paper an extension of the string edit distance is defined for its computation between a pair of ordered sets of vectors. This way, the differences between shapes can be computed in terms of editing costs. In order to achieve efficency a dominant point detection algorithm should be applied, removing redundant data before coding shapes into vectors. This edit distance can be used in nearest neighbour classification tasks. The advantages of this method applied to isolated handwritten character classification are shown, compared to similar methods based on string or tree representations of the binary image.

Topics

Dominant Points Pattern Recognition Structural Pattern Recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Juan Ramón Rico-Juan
    • 1
  • José M. Iñesta
    • 1
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlicanteSpain

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