车牌识别系统MATLAB源代码完整解析.docx

1、车牌识别系统MATLAB源代码完整解析clc; clear all; close all;, pathname, filterindex = uigetfile(*.jpg;*.tif;*.png;*.gif,All Image Files;. *.*,All Files , 选择待处理图像, . images01.jpg);file = full, );%文件路径和文件名创建合成完整文件名id = Get_Id(得到file中的所有对象Img = imread(根据路径和文件名读取图片到ImgPlate, bw, Loc = Pre_Process(Img); % 车牌区域预处理result

2、 = Plate_Process(Plate, id); % 车牌区域二值化处理% 寻找连续有文字的块，若长度大于某阈值，则认为该块有两个字符组成，需要分割bw = Segmation(result);words = Main_Process(bw); % 主流程处理Write_Mask(words, id); % 写出到模板库str = Pattern_Recognition(words); % 识别function id = Get_Id(file)% 获取图像id信息% 输入参数：% file图像路径% 输出参数：% id图像id信息info = imfinfo(file);FS = 4

3、22227 354169 293184 235413 214202 . 130938 490061 120297 98686 137193 . 80558 46208 69947 58110 62115 . 59072 52168 60457 53979 50223;id = find(FS = info.);if isempty(id) warndlg(未建立该图像模板库，可能运行出错！, 警告); id = 1;endfunction R = Cubic_Spline(P)% 三次样条插值% 输入参数：% P节点矩阵% 输出参数：% R样条节点矩阵% 计算相邻插值点之间的弦长chordle

4、n = sqrt(sum(diff(P, , 1).2,2);% 将弦长参数归一化到0,1上chordlen = chordlen/sum(chordlen);% 计算每个插值节点处的累加弦长，作为给点处的参数cumarc = 0; cumsum(chordlen);x = cumarc;N = size(P, 1);R = ;% 以下部分为一元三次样条插值的程序，对于空间三维数据，以同样的累加% 弦长作为参数，对x，y，z分量做三次一元样条插值得到的结果便是对三维数据% 做三次样条插值for k = 1 : size(P, 2) y = P(:, k); m = zeros(1, N); M

5、 = zeros(1, N); n = m; d = m; A = eye(N); A = 2*A; m(1) = 1; n(N) = 1; m(N) = 1; n(1) = 1; for i = 2:N-1 m(i) = (x(i+1)-x(i)/(x(i+1)-x(i-1); n(i) = 1 - m(i); d(i) = 6*(y(i+1) - y(i)/(x(i+1) - x(i) - (y(i) - y(i-1)/(x(i) - x(i-1)/(x(i+1)-x(i-1); end for j = 1 : N-1 A(j, j+1) = m(j); A(j+1, j) = n(j+1

6、); end p = A(2:N-1, 2:N-1); q = d(2:N-1); Q = inv(p)*q; M = zeros(1,N); M(1,1) = 0; M(1,N) = 0; M(1,2:N-1)= Q; S = ; temp = ; for i = 1:N-1 % 对每一个分量计算出来的插值曲线进行采样，以便将其画出。 s = 50;% 采样点个数 z = linspace(x(i),x(i+1),s); h = x(i+1)-x(i); for j = 1:length(z) S(j) = M(i)*(x(i+1)-z(j)3)/(6*h)+M(i+1)*(z(j)-x(i

7、)3)/(6*h)+(y(i)-M(i)*(h2)/6)*(x(i+1)-z(j)/h)+(y(i+1)-M(i+1)*h2/6)*(z(j)-x(i)/h); end temp = temp S; end R(:, k) = temp; endfunction mask = Get_PointSplineMask(Img, Ptn)% 获取封闭有序节点的蒙板图像% Img图像矩阵% Ptn封闭有序节点% 输出参数：% mask蒙板图像if ndims(Img) = 3 I = rgb2gray(Img);else I = Img;endmask = zeros(size(I);Ptn = C

8、ubic_Spline(Ptn); % 样条插值for i = 1 : size(Ptn, 1)-1 pt1 = Ptn(i, :); % 线段起点 pt2 = Ptn(i+1, :); % 线段终点 x1 = pt1(1); y1 = pt1(2); x2 = pt2(1); y2 = pt2(2); % 直线段参数 A = (y1 - y2)/(x1*y2 - x2*y1); B = (-x1 + x2)/(x1*y2 - x2*y1); % 直线段取点 xk = linspace(min(x1, x2), max(x1, x2); if B = 0 yk = linspace(min(y

9、1, y2), max(y1, y2); else yk = (-1 - A*xk)/B; end % 赋值操作 for j = 1 : length(xk) if isnan(round(yk(j) & isnan(round(xk(j) & . isinf(round(yk(j) & isinf(round(xk(j) & . round(yk(j) 0 & round(xk(j) 0 mask(round(yk(j), round(xk(j) = 1; end endendmask = logical(mask); % 类型转换mask = bwmorph(mask, bridge);

10、% 桥接操作mask = imfill(mask, hole); % 补洞操作function Im = Image_Rotate(Img, num, flag)% 旋转校正函数% 输入函数：% Img图像矩阵% num图像序号% flag显示图像窗口% 输出函数：% Im结果图像if nargin 3 flag = 0;endrole = 6 0 0 -13 5 10 0 10 0 -5 2 -1 2 2 0 -5 -2 0 6 2;Im = imrotate(Img, role(num), bilinear);if flag figure(2); subplot(1, 2, 1); ims

11、how(Img); title(原图像); subplot(1, 2, 2); imshow(Im); title(旋转图像);endfunction words = Main_Process(bw, flag_display)% 主流程处理，分割字符并获取% 输入参数：% bw车牌区域图像% flag_display显示图像标记% 输出参数：% words车牌字符数据if nargin 2 flag_display = 1;endm, n = size(bw);k1 = 1;k2 = 1;s = sum(bw); % 列积分投影j = 1; % 列游标while j = n % 寻找车牌图像

12、左侧边界 while s(j) = 0 & j = n-1 j = j + 1; end k1 = j-1; % 车牌图像左侧边界 % 寻找车牌图像右侧边界 while s(j) = 0 & j Tol val, num = min(sum(bw(:, k1+5:k2-5); bw(:, k1+num+5)=0; % 抹去该字符 endend% 再切割bw = Segmation(bw);% 切割出 7 个字符m, n = size(bw);wideTol = round(n/20); % 区域宽度最小约束rateTol = 0.25; % 中心区域比值约束flag = 0;word1 = ;

13、while flag = 0 m, n = size(bw); left = 1; wide = 0; % 找到空隙位置 while sum(bw(:,wide+1) = 0 wide = wide+1; end if wide rateTol flag = 1; word1 = temp; %提取WORD 1 end bw(:, 1:wide) = 0; % 抹去已处理的区域 bw = Segmation(bw); endend% 分割出第二个字符word2, bw = Word_Segmation(bw);% 分割出第三个字符word3, bw = Word_Segmation(bw);%

14、 分割出第四个字符word4, bw = Word_Segmation(bw);% 分割出第五个字符word5, bw = Word_Segmation(bw);% 分割出第六个字符word6, bw = Word_Segmation(bw);% 分割出第七个字符word7, bw = Word_Segmation(bw);wid = size(word1, 2) size(word2, 2) size(word3, 2) . size(word4, 2) size(word5, 2) size(word6, 2) size(word7, 2);maxwid, indmax = max(wid

15、);maxwid = maxwid + 10;wordi = word1;wordi = zeros(size(wordi, 1), round(maxwid-size(word1, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word1, 2)/2);word1 = wordi;wordi = word2;wordi = zeros(size(wordi, 1), round(maxwid-size(word2, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word2, 2

16、)/2);word2 = wordi;wordi = word3;wordi = zeros(size(wordi, 1), round(maxwid-size(word3, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word3, 2)/2);word3 = wordi;wordi = word4;wordi = zeros(size(wordi, 1), round(maxwid-size(word4, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word4, 2)/2)

17、;word4 = wordi;wordi = word5;wordi = zeros(size(wordi, 1), round(maxwid-size(word5, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word5, 2)/2);word5 = wordi;wordi = word6;wordi = zeros(size(wordi, 1), round(maxwid-size(word6, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word6, 2)/2);wor

18、d6 = wordi;wordi = word7;wordi = zeros(size(wordi, 1), round(maxwid-size(word7, 2)/2) wordi zeros(size(wordi, 1), round(maxwid-size(word7, 2)/2);word7 = wordi;% figure(1);% subplot(2, 7, 1); imshow(word1); title(字符1);% subplot(2, 7, 2); imshow(word2); title(字符2);% subplot(2, 7, 3); imshow(word3); ti

19、tle(字符3);% subplot(2, 7, 4); imshow(word4); title(字符4);% subplot(2, 7, 5); imshow(word5); title(字符5);% subplot(2, 7, 6); imshow(word6); title(字符6);% subplot(2, 7, 7); imshow(word7); title(字符7);% 切割出的字符归一化大小为 40*20,此处演示word11 = imresize(word1, 40 20);word21 = imresize(word2, 40 20);word31 = imresize(

20、word3, 40 20);word41 = imresize(word4, 40 20);word51 = imresize(word5, 40 20);word61 = imresize(word6, 40 20);word71 = imresize(word7, 40 20);% subplot(2, 7, 8); imshow(word11); title(字符1);% subplot(2, 7, 9); imshow(word21); title(字符2);% subplot(2, 7, 10); imshow(word31); title(字符3);% subplot(2, 7,

21、11); imshow(word41); title(字符4);% subplot(2, 7, 12); imshow(word51); title(字符5);% subplot(2, 7, 13); imshow(word61); title(字符6);% subplot(2, 7, 14); imshow(word71); title(字符7);% 赋值操作words.word1 = word11;words.word2 = word21;words.word3 = word31;words.word4 = word41;words.word5 = word51;words.word6 =

22、 word61;words.word7 = word71;if flag_display figure; subplot(2, 7, 1); imshow(word1); title(字符1, FontWeight, Bold); subplot(2, 7, 2); imshow(word2); title(字符2, FontWeight, Bold); subplot(2, 7, 3); imshow(word3); title(字符3, FontWeight, Bold); subplot(2, 7, 4); imshow(word4); title(字符4, FontWeight, Bo

23、ld); subplot(2, 7, 5); imshow(word5); title(字符5, FontWeight, Bold); subplot(2, 7, 6); imshow(word6); title(字符6, FontWeight, Bold); subplot(2, 7, 7); imshow(word7); title(字符7, FontWeight, Bold); subplot(2, 7, 8); imshow(word11); title(字符1, FontWeight, Bold); subplot(2, 7, 9); imshow(word21); title(字符

24、2, FontWeight, Bold); subplot(2, 7, 10); imshow(word31); title(字符3, FontWeight, Bold); subplot(2, 7, 11); imshow(word41); title(字符4, FontWeight, Bold); subplot(2, 7, 12); imshow(word51); title(字符5, FontWeight, Bold); subplot(2, 7, 13); imshow(word61); title(字符6, FontWeight, Bold); subplot(2, 7, 14);

25、 imshow(word71); title(字符7, FontWeight, Bold);endfunction mask = Mask_Process(Img, id)% 图像蒙版处理函数% 输入参数：% Img图像矩阵% id图像序号% 输出参数：% mask模板图像% 如果已经存在模板图像则不再取模板 = sprintf(maskmask%d.jpg, id);if exist(, file) mask = imread(); if isa(mask, logical) mask = im2bw(mask); end sz = size(Img); if isequal(sz(1:2)

26、, size(mask) mask = imresize(mask, sz(1:2); mask = logical(mask); end return;endI = Img;Ptn = ;figure;subplot(1, 3, 1); imshow(I);title(取点_左键取点，右键退出, Color, r, . FontWeight, Bold);hold on;set(gcf, units, normalized, position, 0 0 1 1);x, y, button = ginput(1); % 点击while button = 1 plot(x, y, r+, Lin

27、eWidth, 2); % 绘制节点 Ptn = Ptn; x y; % 存储节点 x, y, button = ginput(1); % 点击endif size(Ptn, 1) 2 return;endPtn = Ptn; Ptn(1, :);plot(Ptn(:, 1), Ptn(:, 2), ro-, LineWidth, 2, MarkerFaceColor, k);title(原图像, Color, k, . FontWeight, Bold);mask = Get_PointSplineMask(I, Ptn); % 获取蒙板图像subplot(1, 3, 2); imshow(mask);title(蒙板图像, Color, k, . FontWeight, Bold);if ndims(I) = 3 I1 = I .* uint8(cat(3, mask, mask, mask);else if isequal(size(I), size(mask) mask = imresize(mask, size(I); mask = logical(mask); end I1 = I .* mask;endsubplot(1, 3, 3); imshow(I1);title(蒙板分割结果, Color, k, . FontWeight, Bold);imwrite(ma