Neural network approach to identify model of vehicles

  • Authors:
  • Hyo Jong Lee

  • Affiliations:
  • Chonbuk National University, Jeonju, Korea

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2006

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Abstract

The number of vehicles is rapidly increased as modern industrialization is developed worldwide. Vehicle recognition has been studied for some time because many people acknowledged it is critical information to solve vehicle-related problems. However, few researchers have tried to recognize the model of vehicles. In this paper a novel method is proposed to recognize vehicles’ model corresponding manufacturers in order to increase the efficiency of recognition. Texture descriptors are computed from the front image of vehicles. Then, a three-layer neural network was built and trained with the texture descriptors for model recognition. The proposed method demonstrates 94% recognition rate for moving vehicles’ models.