Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method

Abstract:

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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)

Edited by:

Wu Fan

Pages:

4799-4802

DOI:

10.4028/www.scientific.net/AMR.383-390.4799

Citation:

Y. Q. Wang et al., "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:

$35.00

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