应用BP神经网络分类器识别交通标志

Application of BP Neural Network Classifier for Road Traffic Sign Recognition

介绍了神经网络特性和BP神经网络分类器的一般原理。针对交通标志识别需要处理的信息量大以及受天气道路等外界条件的影响存在噪声干扰的情况，提出了一种应用BP神经网络分类器识别交通标志的方法。识别分为图像数字处理、BP神经网络的训练、测试与对加入噪声图像进行识别3个步骤，经实验取得了良好的识别效果。

In this paper, the characteristic of neural network and the fundamental principle of BP neural network classifier are introduced. For the weather condition, the recognition of road traffic sign would be disturbed by yawp. So a method that recognizing road traffic sign with BP neural network classifier is provided. This method is divided into three steps: digital process of images, train of BP neural network and test for images with yawp. The recognition result is good.