Paper Title:
Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method
  Abstract

The method based on the theory of Fuzzy Pattern Recognition is divided into three parts. Firstly, use Hough transformation to extract the feature points of vehicles, and use the ratio between two absolute distance of adjacent feature points as the characteristic values of vehicles; secondly, use Fuzzy C-mean Classification to handle feature data of 75 car model, then establish a degree of membership matrix as the sample space; thirdly, consider the classification algorithm based on fuzzy approach degree and the credibility of the vehicle feature to propose a weighted close- degree recognition algorithm. This recognition method has a good effect.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Edited by
Wu Fan
Pages
4799-4802
DOI
10.4028/www.scientific.net/AMR.383-390.4799
Citation
Y. Q. Wang, R. J. Huang, T. Y. Xu, K. H. Tang, "Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method", Advanced Materials Research, Vols. 383-390, pp. 4799-4802, 2012
Online since
November 2011
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Price
$32.00
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