我想开发一个matlab程序,可以用模板匹配方法提取和识别车辆的车牌号.
这是我的代码：
function letters = PengenalanPlatMobil(citra)
%load NewTemplates
%global NewTemplates
citra=imresize(citra,[400 NaN]); % Resizing the image keeping aspect ratio same.
citra_bw=rgb2gray(citra); % Converting the RGB (color) image to gray (intensity).
citra_filt=medfilt2(citra_bw,[3 3]); % Median filtering to remove noise.
se=strel('disk',1);
citra_dilasi=imdilate(citra_filt,se); % Dilating the gray image with the structural element.
citra_eroding=imerode(citra_filt,se); % Eroding the gray image with structural element.
citra_edge_enhacement=imsubtract(citra_dilasi,citra_eroding); % Morphological Gradient for edges enhancement.
imshow(citra_edge_enhacement);
citra_edge_enhacement_double=mat2gray(double(citra_edge_enhacement)); % Converting the class to double.
citra_double_konv=conv2(citra_edge_enhacement_double,[1 1;1 1]); % Convolution of the double image f
citra_intens=imadjust(citra_double_konv,[0.5 0.7],[0 1],0.1); % Intensity scaling between the range 0 to 1.
citra_logic=logical(citra_intens); % Conversion of the class from double to binary.
% Eliminating the possible horizontal lines from the output image of regiongrow
% that could be edges of license plate.
citra_line_delete=imsubtract(citra_logic, (imerode(citra_logic,strel('line',50,0))));
% Filling all the regions of the image.
citra_fill=imfill(citra_line_delete,'holes');
% Thinning the image to ensure character isolation.
citra_thinning_eroding=imerode((bwmorph(citra_fill,'thin',1)),(strel('line',3,90)));
%Selecting all the regions that are of pixel area more than 100.
citra_final=bwareaopen(citra_thinning_eroding,125);
[labelled jml] = bwlabel(citra_final);
% Uncomment to make compitable with the previous versions of MATLAB®
% Two properties 'BoundingBox' and binary 'Image' corresponding to these
% Bounding boxes are acquired.
Iprops=regionprops(labelled,'BoundingBox','Image');
%%% OCR STEP
[letter{1:jml}]=deal([]);
[gambar{1:jml}]=deal([]);
for ii=1:jml
gambar= Iprops(ii).Image;
letter{ii}=readLetter(gambar);
% imshow(gambar);
%
end
end
但识别出的数字总是错误的,检测到的数量太多或有时太少.
怎么解决？
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