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Proceedings Paper

Model For Pattern Recognition
Author(s): Gongyuan Qu; Zhongrong Li
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Paper Abstract

In this paper, a model based upon the automaton theory and used for pattern recognition is introduced. The main purpose of this model is to evaluate the performance of a pattern recognition computer and an algorithm for pattern recognition. This model abstracts main frame from new generation pattern recognition computers and is defined as follows: M=(P1, W, B, P, P1' ,S), where p1 is a set of input patterns; W is a set of strings representing a program or explanations for processing; B is a knowledge base storing rules and feature functions of puzzy sets; P represents computer systems for pattern recognition; P1'is a set of output patterns; S is the processing results. By using this model, the performance of a pattern recognition computer and an algorithm for pattern recognition can be easily evaluated.

Paper Details

Date Published: 19 February 1988
PDF: 5 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942731
Show Author Affiliations
Gongyuan Qu, Harbin Institute of Technology (China)
Zhongrong Li, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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