车牌识别基于模板匹配和神经网络.zip

车牌识别（基于模板匹配和神经网络），压缩包里包含神经网络的车牌识别算法、模板匹配的车牌识别算法、车牌字符模板、神经网络训练字符、参考文献

%% 图像预处理
clear all;
image=imread（‘chepai2.jpg‘）;
figure（1）subplot（331）imshow（image）;title（‘原图‘）;
I1=rgb2gray（image）;
figure（1）subplot（332）imshow（I1）;title（‘灰度图‘）;
figure（1）subplot（333）imhist（I1）;title（‘灰度图直方图‘）;
I2=edge（I1‘sobel‘0.15‘both‘）;
figure（1）subplot（334）imshow（I2）;title（‘算子边缘检测‘）;
se=[1;1;1];
I3=imerode（I2se）;
figure（1）subplot（335）imshow（I3）;title（‘腐蚀后图像‘）;
se=strel（‘rectangle‘[2020]）;
I4=imclose（I3se）;
figure（1）subplot（336）imshow（I4）;title（‘闭运算后‘）;
I5=bwareaopen（I42000）;
figure（1）subplot（337）imshow（I5）;title（‘从对象中移除小对象‘）;
se = strel（‘rectangle‘[50 80]）;
I6 = imdilate（I5se）;
figure（1）subplot（338）;imshow（I6）;title（‘膨胀处理‘）;
%%

%% 定位车牌

%%%%%%%%%%%%%%%%%%%%%%%%%%%% 找出长宽比在2~4的区域 %%%%%%%%%%%%%%%%%%%%%%%%%%
ed=edge（I6）;
L = bwlabel（I6）;%标记连通域
L1 = bwlabel（ed）;
p=zeros（1max（L1（:）））;
for i=1:max（L（:））%得到连通域的长宽比
    p（i）=sum（ed（L==i））;
    [yx]=find（L==i）;
    x0=min（x（:））;
    x1=max（x（:））;
    y0=min（y（:））;
    y1=max（y（:））;
    bl=（x1-x0）/（y1-y0）;
    if bl>2&&bl<4
        X0 = x0;
        X1 = x1;
        Y0 = y0;
        Y1 = y1;
    end
end
I7=imcrop（image[X0Y0X1-X0Y1-Y0]）;
figure（1）subplot（339）;imshow（I7）;title（‘裁剪后图像‘）;
 
%%%%%%%%%%%%%%%%%%%%%%%%%%%% 根据蓝色像素点定位车牌位置%%%%%%%%%%%%%%%%%%%%%
[xyz]=size（I7）;
% 以下为找车牌Y方向蓝色的范围
Blue_y=zeros（y1）;% zeros（MN） 表示的是M行*N列的全0矩阵
for i=1:x    
    for j=1:y         
        if（I7（ij3）>（I7（ij1）+I7（ij2））&&（I7（ij3）>128））%% 判断蓝色像素           
            Blue_y（j1）= Blue_y（j1）+1;% 蓝色像素点统计          
        end       
    end       
end
PY1=1; 
while （（Blue_y（PY11）<10）&&（PY1    PY1=PY1+1;  %PY1是Y坐标方向蓝色范围的下限
end   
PY2=y; 
while （（Blue_y（PY21）<10）&&（PY2>PY1））        
    PY2=PY2-1; %PY2是Y坐标方向蓝色范围的上限
end   

% 以下为找车牌X方向蓝色的范围
Blue_x=zeros（1x）;
for i=1:x     
    for j=1:y  % 只需扫描的行         
        if（I7（ij3）>（I7（ij1）+I7（ij2））&&（I7（ij3）>128）） %% 判断蓝色像素            
            Blue_x（1i）= Blue_x（1i）+1; % 蓝色像素点统计                      
        end      
    end   
end
PX1=1;
while （（Blue_x（1PX1）<5）&&（PX1       PX1=PX1+1; %PX1是X坐标方向蓝色范围的下限
end    
PX2=x;
while （（Blue_x（1PX2）<3）&&（PX2>PX1）） 
       PX2=PX2-1; %PX2是X坐标方向蓝色范围的上限
end    
I8=I7（PX1:PX2PY1:PY2:）;% 裁剪图像
figure（2）;imshow（I8）title（‘定位剪切后的彩色车牌图像‘）;
%% 

%% 倾斜矫正

I9=rgb2gray（I8）;
figure（4）subplot（221）;imshow（I9）;title（‘灰度图‘）;
I10=edge（I9）;
figure（4）subplot（222）;imshow（I10）;title（‘边缘检测‘）;
theta=1:180;    
[Rxp]=radon（ I10theta）;
[I0J]=find（R>=max（max（R）））;%找倾斜角
qxj=90-J;
I11=imrotate（I8qxj‘bilinear‘‘crop‘）;
figure（4）subplot（223）;imshow（I8）;title（‘原图‘）;
figure（4）subplot（224）;imshow（I11）;title（‘倾斜矫正‘）;
thresh = graythresh（I9）;     %自动确定二值化阈值；
I12 = im2bw（I9thresh）; 
figure（5）subplot（121）;imshow（I12）;title（‘二值化‘）;
I13=imrotate（I12qxj‘bilinear‘‘crop‘）;
figure（5）subplot（122）;imshow（I13）;t

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2019-12-07 16:44  周鹏-2019250068-机电学院-车牌识别\
     目录           0  2019-12-07 16:29  周鹏-2019250068-机电学院-车牌识别\charSamples\
     目录           0  2019-12-07 16:29  周鹏-2019250068-机电学院-车牌识别\charSamples\0\
     文件         376  2013-11-07 08:35  周鹏-2019250068-机电学院-车牌识别\charSamples\0\10_0.792674_gray_14967_5950_step5_recog_4_0_0.890217_0.705652.png
     文件         413  2013-11-10 08:12  周鹏-2019250068-机电学院-车牌识别\charSamples\0\11_0.971377_gray_20751_8531_step5_recog_4_0_0.996446_0.967925.png
     文件         413  2013-11-09 08:47  周鹏-2019250068-机电学院-车牌识别\charSamples\0\12_0.953826_gray_975_407_step5_recog_5_0_0.987086_0.941508.png
     文件         376  2013-11-06 07:31  周鹏-2019250068-机电学院-车牌识别\charSamples\0\13_0.924615_gray_5457_2092_step5_recog_6_0_0.987233_0.912810.png
     文件         413  2013-11-07 10:29  周鹏-2019250068-机电学院-车牌识别\charSamples\0\14_0.749970_gray_17934_7138_step5_recog_4_0_0.787806_0.590831.png
     文件         398  2013-11-07 01:38  周鹏-2019250068-机电学院-车牌识别\charSamples\0\15_0.877296_gray_8040_2899_step5_recog_4_0_0.969689_0.850704.png
     文件         390  2013-11-09 16:11  周鹏-2019250068-机电学院-车牌识别\charSamples\0\16_0.949891_gray_12542_5631_step5_recog_5_0_0.989526_0.939942.png
     文件         413  2013-11-05 23:09  周鹏-2019250068-机电学院-车牌识别\charSamples\0\17_0.906434_gray_1645_517_step5_recog_3_0_0.985269_0.893081.png
     文件         413  2013-11-04 07:38  周鹏-2019250068-机电学院-车牌识别\charSamples\0\18_0.494551_gray_4696_2106_step5_recog_5_D_0.340885_0.168585.png
     文件         413  2013-11-10 17:49  周鹏-2019250068-机电学院-车牌识别\charSamples\0\19_0.968513_gray_35240_14963_step5_recog_4_0_0.994962_0.963633.png
     文件         390  2013-11-05 11:37  周鹏-2019250068-机电学院-车牌识别\charSamples\0\1_0.822474_gray_13564_5332_step5_recog_2_0_0.891312_0.733081.png
     文件         452  2013-11-07 09:17  周鹏-2019250068-机电学院-车牌识别\charSamples\0\20_0.737201_gray_16436_6504_step5_recog_3_0_0.828133_0.610500.png
     文件         328  2013-11-09 09:13  周鹏-2019250068-机电学院-车牌识别\charSamples\0\21_0.750968_gray_1741_702_step5_recog_5_0_0.724394_0.543997.png
     文件         578  2013-11-06 07:23  周鹏-2019250068-机电学院-车牌识别\charSamples\0\22_0.610848_gray_4813_1822_step5_recog_6_0_0.772820_0.472076.png
     文件         429  2013-11-08 21:58  周鹏-2019250068-机电学院-车牌识别\charSamples\0\23_0.976079_gray_9338_3994_step5_recog_4_0_0.996512_0.972675.png
     文件         404  2013-11-05 10:21  周鹏-2019250068-机电学院-车牌识别\charSamples\0\24_0.876098_gray_12240_4810_step5_recog_6_0_0.960593_0.841573.png
     文件         398  2013-11-10 13:17  周鹏-2019250068-机电学院-车牌识别\charSamples\0\25_0.978677_gray_28271_11796_step5_recog_3_0_0.997614_0.976341.png
     文件         845  2013-11-07 07:07  周鹏-2019250068-机电学院-车牌识别\charSamples\0\26_0.915550_gray_9737_3597_step5_recog_6_0_0.984816_0.901648.png
     文件         413  2013-11-06 16:41  周鹏-2019250068-机电学院-车牌识别\charSamples\0\27_0.942230_gray_2943_1159_step5_recog_4_0_0.982740_0.925967.png
     文件         390  2013-11-06 07:09  周鹏-2019250068-机电学院-车牌识别\charSamples\0\28_0.845480_gray_4035_1484_step5_recog_2_0_0.902136_0.762738.png
     文件         436  2013-11-07 08:11  周鹏-2019250068-机电学院-车牌识别\charSamples\0\29_0.736003_gray_13772_5440_step5_recog_4_0_0.816986_0.601304.png
     文件         413  2013-11-04 17:45  周鹏-2019250068-机电学院-车牌识别\charSamples\0\2_0.734930_gray_10773_4652_step5_recog_6_0_0.932386_0.685239.png
     文件         595  2013-11-08 12:21  周鹏-2019250068-机电学院-车牌识别\charSamples\0\30_0.669019_gray_4754_2801_step5_recog_4_0_0.669949_0.448209.png
     文件         443  2013-11-04 11:41  周鹏-2019250068-机电学院-车牌识别\charSamples\0\31_0.941303_gray_3574_1589_step5_recog_5_0_0.991813_0.933597.png
     文件         390  2013-11-10 14:35  周鹏-2019250068-机电学院-车牌识别\charSamples\0\32_0.910823_gray_30504_12844_step5_recog_2_0_0.938536_0.854839.png
     文件         413  2013-11-09 00:43  周鹏-2019250068-机电学院-车牌识别\charSamples\0\33_0.944410_gray_10675_4406_step5_recog_5_0_0.977869_0.923509.png
     文件         443  2013-11-04 10:34  周鹏-2019250068-机电学院-车牌识别\charSamples\0\34_0.913401_gray_2467_1090_step5_recog_3_0_0.986072_0.900679.png
     文件         376  2013-11-05 07:53  周鹏-2019250068-机电学院-车牌识别\charSamples\0\35_0.908210_gray_6976_2539_step5_recog_4_0_0.974391_0.884952.png
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