计算机应用与软件2017，Vol.34Issue(4)：243-248,6.DOI:10.3969/j.issn.1000-386x.2017.04.041
基于改进BP网络的车牌字符识别方法研究
RESEARCH ON LICENSE PLATE CHARACTER RECOGNITION METHOD BASED ON IMPROVED BP NEURAL NETWORK
摘要
Abstract
Aiming at the problem that the traditional BP algorithm is slow in the recognition speed of the license plate and the recognition accuracy is low, an improved BP neural network license plate character recognition method is proposed.By optimizing the input feature number of BP algorithm, the number of nodes in the input layer is reduced and the recognition speed is improved without reducing the recognition accuracy.The improved BP algorithm adopts the all parameter automatic adjustment and introduces adaptive learning rate, momentum factor and slope steepness factor, which increases the recognition accuracy of BP algorithm.At the same time, through better use of the license plate character features and BP network features, it reduced the complexity of the algorithm structure, and enhanced the robustness of the algorithm.The experimental results show that the recognition rate of the algorithm is 6.5% higher than that of the traditional BP neural network license plate recognition algorithm based on the self-built license plate data set, and the recognition speed is improved by 1.3 s.关键词
改进BP网络/车牌/字符识别/全参数自动调整Key words
Improved BP neural network/License plate/Character recognition/All parameter automatic adjustment分类
信息技术与安全科学引用本文复制引用
张国云,向灿群,吴健辉,郭龙源,涂兵..基于改进BP网络的车牌字符识别方法研究[J].计算机应用与软件,2017,34(4):243-248,6.基金项目
湖南省教育厅产业化培育项目(13CY021) （13CY021）
湖南省教育厅开放基金项目(15K051). （15K051）
