关键词: 车牌定位, 车牌识别, 支持向量机, BP神经网络

Abstract:

This paper presents an effective license plate recognition algorithm based on SVM and BP neural network for accurate license plate location and character recognition.First,plate regions that conform to the license plate characteristics are preliminary located by the contour rectangle area with the aspect ratio acquired by HSV color model and morphological methods.Then the more precise plate region is located by SVM machine learning.Finally,the plate characters are classified by the BP neural network.Experiment results show that this system is good in accuracy and speed and suitable for complex environment.

Key words: plate location;plate recognition;support vector machine;BP neural network