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Recent Advances in Syntactic Pattern Recognition

  • K. S. Fu
Part of the Springer Series in Synergetics book series (SSSYN, volume 5)

Abstract

The many different mathematical techniques used to solve pattern recognition problems may be grouped into two general approaches [1,2]. They are the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach [3]. In the decision-theoretic approach, a set of characteristic measurements, called features, are extracted from the patterns. Each pattern is represented by a feature vector, and the recognition of each pattern is usually made by partitioning the feature space. On the other hand, in the syntactic approach, each pattern is expressed as a composition of its components, called sub-patterns and pattern primitives. This approach draws an analogy between the structure of patterns and the syntax of a language. The recognition of each pattern is usually made by parsing the pattern structure according to a given set of syntax rules. In this paper, we briefly review the recent progress in syntactic pattern recognition and some of its applications.

Keywords

Print Circuit Board Syntactic Pattern Shape Grammar Pattern Description Syntactic Approach 
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 1979

Authors and Affiliations

  • K. S. Fu
    • 1
  1. 1.School of Electrical EngineeringPurdue UniversityW. LafayetteUSA

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