Model For Pattern Recognition

Gongyuan Qu; Zhongrong Li

doi:10.1117/12.942731

19 February 1988 Model For Pattern Recognition

Gongyuan Qu, Zhongrong Li

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942731
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

Gongyuan Qu and Zhongrong Li "Model For Pattern Recognition", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942731

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