A New Vehicle Recognition Approach Based on Graph Spectral Theory and BP Neural Network
- Resource Type
- Conference
- Authors
- Yu, Wang; Lei, Li; Feng, ShiJian
- Source
- 2012 International Conference on Computer Science and Electronics Engineering Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on. 2:84-86 Mar, 2012
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Vehicles
Vehicle detection
Neural networks
Satellites
Image recognition
Learning systems
Feature extraction
Graph Spectral Theory
Neural Network
Vehicle Recognition
- Language
A new vehicle recognition approach based on graph spectral theory and neural networks is proposed in this paper. 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.