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Proceedings Paper

Vehicle recognition based on positive feature
Author(s): Feng Xu
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Paper Abstract

The existing chief methods of vehicle recognition is introduced in this paper, a new approach is presented to solve the shortcoming based on the actual situation of criminal technology. We first detect the edge with improved PCNN, and then the four coefficients are designed to represent the feature image. Finally, a BP neural network is constructed to classify the car types automatically. Expermiental results show that the proposed vehicle recognition is fast, simple and effective.

Paper Details

Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87680X (14 March 2013); doi: 10.1117/12.2010662
Show Author Affiliations
Feng Xu, China Criminal Police Univ. (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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