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Pattern Recognition

  1. Robert J. Schalkoff

Published Online: 14 DEC 2007

DOI: 10.1002/9780470050118.ecse302

Wiley Encyclopedia of Computer Science and Engineering

Wiley Encyclopedia of Computer Science and Engineering

How to Cite

Schalkoff, R. J. 2007. Pattern Recognition. Wiley Encyclopedia of Computer Science and Engineering.

Author Information

  1. Clemson University, Clemson, South Carolina

Publication History

  1. Published Online: 14 DEC 2007

Abstract

Pattern recognition (PR) concerns the description or classification (recognition) of measurements. PR capability is often a prerequisite for intelligent behavior. PR is not one technique, but rather a broad body of often loosely related knowledge and techniques. PR may be characterized as an information reduction, information mapping, or information labeling process. Historically, the two major approaches to pattern recognition are statistical (or decision theoretic), hereafter denoted StatPR, and syntactic (or structural), hereafter denoted SyntPR. The technology of artificial neural networks has provided another alternative, neural pattern recognition, hereafter denoted NeurPR. NeurPR is especially well suited for “black box” implementation of PR algorithms. As no single technology is always the optimal solution for a given PR problem, all three are often considered in the quest for a solution.

Keywords:

  • classification;
  • recognition;
  • patterns