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

Wang Yu, Li Lei, ShiJian Feng
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引用次数: 4

Abstract

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.
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基于图谱理论和BP神经网络的车辆识别新方法
提出了一种基于图谱理论和神经网络的车辆识别新方法。该方法采用基于图谱理论的图像阈值法对图像进行预处理。用规则对未确定区域进行过滤后,剩下的区域灰度统一。将这些灰度值输入到神经网络中进行车辆和车型的识别。实验证明,该方法具有较高的识别率和较低的错误率。
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