Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method

Yi Qiang Wang; Rui Jian Huang; Tian Yi Xu; Ke Hong Tang

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Vehicle Model Recognition Based on Fuzzy Pattern...

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.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

4799-4802

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.4799

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Online since:

November 2011

Authors:

Yi Qiang Wang, Rui Jian Huang, Tian Yi Xu, Ke Hong Tang

Keywords:

Credibility of the Vehicle Feature, Fuzzy Approch Degree, Fuzzy C-Mean Classification, Fuzzy Pattern Recognition

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