Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method
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.
Y. Q. Wang et al., "Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method", Advanced Materials Research, Vols. 383-390, pp. 4799-4802, 2012