文档介绍：基于MATLAB车牌字符识别的算法研究
马晨
西安航空学院
X
关注成功!
加关注后您将方便地在我的关注中得到本文献的被引频次变化的通知!
新浪微博
腾讯微博
人人网
开心网
豆瓣网
网易微博
摘    要:
智能交通系统广泛应用在控制服务、制造车辆、道路交通等领域。而在智能交通系统中最关键的技术之一就是车牌字符识别技术。文中采用神经网络技术来实现车牌字符识别。人工神经网络, 可较好的自组织自学****能力、较大规模并行处理、分布式信息存储等。BP算法是人工神经网络中的一种监督式的学****算法, 是非线性变化单元构成的, 并且非线性映射能力十分强, 在理论上能逼近任意函数, 可以依据实际情况设定网络的学****系数、网络的中间层数以及各层的处理单元等参数。
关键词:
车牌字符识别; MATLAB; 神经网络;
作者简介:马晨(1987—) , 女, 陕西榆林人, 工学硕士研究生, 助理工程师, 助教, 毕业于西安邮电大学, 现就职于西安航空学院, 研究方向:图像与视频通信。
收稿日期:2017-08-04
Research on License Plate Character Recognition Algorithm Based on MATLAB
Ma Chen
Electrical Engineering College, Xi'an Aeronautical University;
Abstract:
Intelligent transportation system is widely used in the fields of control service, manufacturing vehicle, road transportation and so on. One of the most critical technologies in intelligent transportation systems is license plate character recognition. In this paper, work technology is used to realize license plate character recognition. Artificial work, can be better anizing self-learning ability, large-scale parallel processing, distributed information storage. BP algorithm is a kind of supervised learning algorithm in artificial work, which posed of nonlinear variable elements, and the nonlinear mapping ability is very strong. In theory, it can approximate any function and can set the learning coefficient of work according to the actual situation. The