Neural Network Approach to Identify Model of Vehicles

  • Hyo Jong Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


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.


Recognition Rate Texture Descriptor Vehicle Model Neural Network Approach License Plate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hyo Jong Lee
    • 1
  1. 1.Chonbuk National UniversityJeonjuKorea

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