A New Vehicle Recognition Approach Based on Graph Spectral Theory and BP Neural Network

摘要：

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.

关键词： component Graph Spectral Theory Neural Network Vehicle Recognition

作者: WangYu Li Lei ShiJian Feng

作者单位: Nanjing Artillery Academy of PLA Langfang,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 84-86

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）