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Proceedings of the International Conference on Internet Technology and Security
Hao Xie
Hao Xie
Huazhong University of Science and Technology Mehmet OZKAN,
Sevilla University
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This paper proposes a new vehicle recognition approach based on graph spectral theory and neural networks. In the approach, image threshold method based on graph spectral theory is used for image preprocessing. And after filter of undetermined regions with rules, regions left are gray-unified. These gray values are input into neural network to recognize vehicle and vehicle types. The experiment proves that this method has high recognition rate and low false rate.

I. Introduction
II. Image Threshold Value Dividation Based on Graph Spectral Theory
III. BP Networks
IV. Vehicle Object Recognition Arithmetic Process
V. Experiment Results
VI. Conclusions
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