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Similarity in Two-Dimensional Strings

  • Ricardo A. Baeza-Yates
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1449)

Abstract

In this paper we discuss how to compute the edit distance (or similarity) between two images. We present new similarity measures and how to compute them. They can be used to perform more general two-dimensional approximate pattern matching. Previous work on two-dimensional approximate string matching either work with only substitutions or a restricted edit distance that allows only some type of errors.

Keywords

Pattern Match Edit Distance Longe Common Subsequence Approximate Match Approximate String Match 
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 1998

Authors and Affiliations

  • Ricardo A. Baeza-Yates
    • 1
  1. 1.Depto. de Ciencias de la ComputaciónUniversidad de ChileSantiagoChile

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