山东农业大学学报（自然科学版）2017，Vol.48Issue(1)：113-116,4.DOI:10.3969/j.issn.1000-2324.2017.01.023
基于BP神经网络的车牌字符识别方法
License Plate Recognition Based on BP Neural Network
鹿琛 1王姗珊2
作者信息
- 1. 山西大学 计算机与信息技术学院, 山西 太原 030006
- 2. 同盛实验中学, 山西 临汾 041000
- 折叠
摘要
Abstract
License plate character recognition method based on BP Neural Network is a way that uses the gray feature and the feature of four corners as input to accurately identify character. Compared with previous research, it is more effectively in similar character recognition. Meanwhile, This article used the parallel identification method proposed by Matlab to enhance the recognition's rate of plate image. According to the data of experiment, the proposed method had better effect in the recognition accuracy and the rate of recognition.关键词
字符识别/特征提取/并行识别/BP神经网络Key words
Character recognition/feature extraction/parallel operation/BP neural network分类
信息技术与安全科学引用本文复制引用
鹿琛,王姗珊..基于BP神经网络的车牌字符识别方法[J].山东农业大学学报（自然科学版）,2017,48(1):113-116,4.
