文档介绍：本科毕业设计(论文)资料
题目名称:
基于BP网络的车牌字符识别
学院(部):
专业:
学生姓名:
班级:
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指导教师姓名:
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本科毕业设计(论文)资料
第一部分毕业论文
(2013届)
本科毕业设计(论文)
学院(部):
电气与信息工程学院
专业:
电子信息工程
学生姓名:
班级:
学号
指导教师姓名:
职称
职称
最终评定成绩
2013年6月
摘要
基于BP网络的车牌字符识别是一门对车牌字符识别的技术,它的产生是为了完善智能交通系统,使得交通系统更具有信息时代意义。
本文利用BP神经网络与图像处理技术相结合的方法,将BP神经网络应用到车牌字符识别中。针对车牌图像的处理的过程包括:车牌图像去噪、车牌图像灰度化、车牌图像二值化、车牌字符图像分割、车牌字符图像归一化、车牌字符图像特征值提取。前面五个过程是为了保证字符信息能更好的体现出来有利于将特征值得提取。BP神经网络通过对组建的车牌字符库的学习后才会具有识别功能,然后将车牌字符图像提取到的特征值送入到BP神经网络中就能识别出来。
通过实验证明了通过上述的过程是能够将车牌字符识别出来,在这个识别过程中对于BP网络训练的收敛性是十分重要的,本文认为可以通过修改隐含层节点的个数、训练函数和激发函数来完成BP网络的训练以使得BP神经网络具有识别功能。对于识别的关键部分在于对特征值的提取,只有采可靠的提取办法才能保证字符信息部丢失这样才有利于识别。
关键词:车牌字符识别,BP神经网络,特征值提取
ABSTRACT
work based license plate character recognition is one pair of license plate character recognition technology, which is produced in order to improve intelligent transportation system, making the transport system more meaningful information age.
In this paper, BP work and image processing technology, bination of methods will be applied to the license plate BP work character recognition. For the license plate image processing process includes: license plate image denoising, gray plate image, license plate image binarization, license plate character segmentation, license plate character image normalization, license plate character image feature extraction. During the previous five character information in order to ensure better reflected the benefit is worth the feature extraction. Through the formation of BP work library for license plate character recognition function after learning will have, and then extract the license plate character image characteristic value fed to BP work can be identified.
The experimental results show the process by the above license plate characters can be identified, in this process for identifying convergence work training is very important that this can modify the number of nodes in the hidden layer, training function and