摘要
介绍了通过小波变换在复杂背景下对车辆图像进行去噪和对车辆牌照进行定位,并利用BP网络结合线性感知器来对车牌字符进行分类和识别。实验结果表明,该文提出的设计方案,算法简单、实时性好、识别率高,可适用于复杂背景环境中的车牌识别。
This paper introduces how to de-noise automobile image and to locate license plate with wavelet on complex background, and expatiates how to classify and recognise character of vehicle license plates with BP algorithm integrated with linear perceptron. Experiments show that the design project is easy to be realized, has a good real-time performance, has a high recognition rate and can be the same with recognition of vehicle license plates on complex background.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第15期175-177,共3页
Computer Engineering
关键词
小波变换
神经网络
图像去噪
车牌定位
字符识别
Wavelet, ANN
Image de-noising
License plate location
Character recognition
