自动车牌识别(ALPR)---https://blog.csdn.net/ELEVEN_ZOU/article/details/80893579
1.基本功能:从一张或者一系列的图片中提取车牌信息,比如车牌号码、车牌颜色等信息。
2.功能扩展:车型、车品牌、车牌类型等。
3.应用方向:电子交易系统(停车自动收费、收费站自动支付等)、交通执法、交通监控等。
4.影响因子:
(1)车牌的影响:位置、数量、尺寸、颜色、字体、背景图案和颜色(指车牌的背景)、遮挡(可能车牌较脏)、倾斜、特殊车牌、双行车牌、其他(比如车框、螺钉)。
(2)环境影响:拍摄相机的种类(彩色、黑白、红外)和拍摄角度、光照影响、背景(指车的外形背景)。
5.车牌识别的一般步骤:图象获取——>车牌提取——>车牌字符分割——>字符识别。
6.各种识别方法之间性能比较方案:比较方法的优缺点(应用范围、功能范围)、识别率、识别速度等。
7.双行车牌的定位与字符的切割。
8.中国车牌的特点:多省份多种类的中文字符,且中文字符可能出现的位置有三处,如下所示:
![](https://img2018.cnblogs.com/blog/1522945/201904/1522945-20190421000951222-1396470602.png)
![](https://img2018.cnblogs.com/blog/1522945/201904/1522945-20190421001007779-1173034205.png)
![](https://img2018.cnblogs.com/blog/1522945/201904/1522945-20190421001017487-138818259.png)
# 总结如下:
车牌字符:数字0--9(10个)、字母A--Z(没有I和O,24个)、省份简称(31个)、特殊字符(7个,还有一些比较少见,没算在内) 共计72个
"0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "A", "B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z","川","鄂","赣","甘","贵","桂","黑","泸","冀","津","京","吉","辽","鲁","蒙","闽","宁","青","琼",
"0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "A", "B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z","川","鄂","赣","甘","贵","桂","黑","泸","冀","津","京","吉","辽","鲁","蒙","闽","宁","青","琼",
"陕","苏","晋","皖","湘","新","豫","渝","粤","云","藏","浙","澳","港","挂","警","领","使","学"
环境因素:拍摄角度、分辨率、环境亮度、模糊程度等。
这里给出上列资源的下载链接:
https://download.csdn.net/download/eleven_zou/10516249
https://download.csdn.net/download/eleven_zou/10516259
https://download.csdn.net/download/eleven_zou/10516277
https://download.csdn.net/download/eleven_zou/10516287
由于资源远远超出了规定的220M大小限制,所以分成了4部分,请见谅。
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作者:ELEVEN_ZOU
来源:CSDN
原文:https://blog.csdn.net/ELEVEN_ZOU/article/details/80893579
版权声明:本文为博主原创文章,转载请附上博文链接!
---------------------
作者:ELEVEN_ZOU
来源:CSDN
原文:https://blog.csdn.net/ELEVEN_ZOU/article/details/80893579
版权声明:本文为博主原创文章,转载请附上博文链接!