Vehicle Style Recognition Based on Image Processing and Neural Network

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 169)

Abstract

A vehicle style recognition method using computer vision, image processing and RBF neural network is presented in the paper. First, a vehicle side image is acquired by using a high-speed vidicon. Then a vehicle edge outline image was obtained by a series of image processing and the vehicle features are extracted from the edge outline image. Finally, the vehicle is recognized and classified using a RBF neural network. Experimental results show that the proposed method has a good classification effect in the practical application of vehicle style recognition at vehicle toll stations.

Keywords

vehicle style recognition feature extraction image processing RBF neural network 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of Information EngineeringSouthwest University of Science and TechnologyMianyangChina

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