基于BP车牌识别

MATLAB的车牌识别，本程序采用BP神经网络、有可是画GUI界面，简单易懂

function net=BP_Set（）
I0=per_deal（‘./bp/0.jpg‘）;
I1=per_deal（‘./bp/1.jpg‘）;
I2=per_deal（‘./bp/2.jpg‘）;
I3=per_deal（‘./bp/3.jpg‘）;
I4=per_deal（‘./bp/4.jpg‘）;
I5=per_deal（‘./bp/5.jpg‘）;
I6=per_deal（‘./bp/6.jpg‘）;
I7=per_deal（‘./bp/7.jpg‘）;
I8=per_deal（‘./bp/8.jpg‘）;
I9=per_deal（‘./bp/9.jpg‘）;
I10=per_deal（‘./bp/A.jpg‘）;
I11=per_deal（‘./bp/B.jpg‘）;
I12=per_deal（‘./bp/C.jpg‘）;
I13=per_deal（‘./bp/D.jpg‘）;
I14=per_deal（‘./bp/G.jpg‘）;
I15=per_deal（‘./bp/K.jpg‘）;
I16=per_deal（‘./bp/L.jpg‘）;
I17=per_deal（‘./bp/M.jpg‘）;
I18=per_deal（‘./bp/辽.jpg‘）;
I19=per_deal（‘./bp/苏.jpg‘）;
I20=per_deal（‘./bp/陕.jpg‘）;
I21=per_deal（‘./bp/京.jpg‘）;
I22=per_deal（‘./bp/J.jpg‘）;
I23=per_deal（‘./bp/鲁.jpg‘）;
P=[I0‘I1‘I2‘I3‘I4‘I5‘I6‘I7‘I8‘I9‘I10‘I11‘I12‘I13‘I14‘I15‘I16‘I17‘I18‘I19‘I20‘I21‘I22‘I23‘];
T=eye（2424）;   %输出样本
K=minmax（P）;
%% bp神经网络参数设置
net=newff（minmax（P）[20024]{‘logsig‘‘logsig‘‘logsig‘}‘trainrp‘）;
net.inputWeights{11}.initFcn =‘randnr‘;
net.layerWeights{21}.initFcn =‘randnr‘;
net.trainparam.epochs=60000;
net.trainparam.show=50;
net.trainparam.lr=0.003;
net.trainparam.goal=0.00000000001;
net=init（net）;
[nettr]=train（netPT）;	%训练样本

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2018-05-06 12:03  car\
     文件         828  2018-05-06 12:05  car\1.jpg
     文件         801  2018-05-06 12:05  car\2.jpg
     文件         633  2018-05-06 12:05  car\3.jpg
     文件         784  2018-05-06 12:05  car\4.jpg
     文件         774  2018-05-06 12:05  car\5.jpg
     文件         844  2018-05-06 12:05  car\6.jpg
     文件         766  2018-05-06 12:05  car\7.jpg
     目录           0  2018-05-06 12:03  car\BP\
     文件         660  2009-01-02 01:38  car\BP\0.jpg
     文件       11590  2008-12-29 16:16  car\BP\1.jpg
     文件       12351  2008-12-29 16:17  car\BP\2.jpg
     文件         815  2009-01-01 22:48  car\BP\3.jpg
     文件       12022  2008-12-29 16:18  car\BP\4.jpg
     文件       12340  2008-12-29 16:19  car\BP\5.jpg
     文件         829  2009-01-02 12:04  car\BP\6.jpg
     文件         583  2009-01-02 11:11  car\BP\7.jpg
     文件         817  2014-12-07 10:00  car\BP\8.jpg
     文件         778  2009-01-02 11:46  car\BP\9.jpg
     文件         803  2009-01-01 22:48  car\BP\A.jpg
     文件         807  2009-01-01 22:48  car\BP\B.jpg
     文件         771  2009-01-02 11:43  car\BP\C.jpg
     文件       12072  2008-12-29 15:48  car\BP\D.jpg
     文件       11865  2008-12-29 15:48  car\BP\E.jpg
     文件       11722  2008-12-29 15:49  car\BP\F.jpg
     文件       12276  2008-12-29 16:12  car\BP\G.jpg
     文件         663  2009-01-02 11:43  car\BP\H.jpg
     文件       11563  2008-12-29 15:51  car\BP\I.jpg
     文件         566  2009-01-02 11:11  car\BP\J.jpg
     文件       11373  2008-12-29 15:52  car\BP\L.jpg
     文件         611  2009-01-01 22:48  car\BP\M.jpg
............此处省略54个文件信息