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The Optimal Feature Extraction Procedure for Statistical Pattern Recognition

  • Marek Kurzynski
  • Edward Puchala
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3982)

Abstract

The paper deals with the extraction of features for object recognition. Bayes’ probability of correct classification was adopted as the extraction criterion. The problem with full probabilistic information is discussed in detail. A simple calculation example is given and solved. One of the paper’s chapters is devoted to a case when the available information is contained in the so-called learning sequence (the case of recognition with learning).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Marek Kurzynski
    • 1
  • Edward Puchala
    • 1
  1. 1.Faculty of Electronics, Chair of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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