电子科技2016，Vol.29Issue(1)：98-101,4.DOI:10.16180/j.cnki.issn1007-7820.2016.01.026
基于SVM和BP神经网络的车牌识别系统
Plate Recognition System Based on SVM and BP Neural Network
摘要
Abstract
This paper presents an effective license plate recognition algorithm based on SVM and BP neural net -work 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 ac-curacy and speed and suitable for complex environment .关键词
车牌定位/车牌识别/支持向量机/BP神经网络Key words
plate location/plate recognition/support vector machine/BP neural network分类
信息技术与安全科学引用本文复制引用
曾泉,谭北海..基于SVM和BP神经网络的车牌识别系统[J].电子科技,2016,29(1):98-101,4.基金项目
国家自然科学基金资助项目(61203117) （61203117）
