身份证号码识别MATLAB设计源码分享给大家学习
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- function [ id_codes,id_bw,code_stats,thresh,iteration ] = id_rec_process( img_gray,model,thresh,training_data_size,iteration )
- narginchk(1,5)
- if nargin==1
- model=[];
- elseif nargin<=2 || thresh==0
- thresh=.68*graythresh(img_gray);
- elseif nargin<=3
- training_data_size=[47 31];
- elseif nargin<=4 || isempty(training_data_size)
- iteration=1;
- end
- % fprintf('Iteration %d, threshold value: %f\n',iteration,thresh)
- bw=~im2bw(img_gray,thresh);
- bw=imclearborder(bwareaopen(bw,10));
- bwc=imdilate(bw,strel('disk',6));
- code_stats=regionprops(bwc,'Area');
- step_ratio=1.1;
- if isempty(code_stats) && thresh*step_ratio<1
- [id_codes,id_bw,code_stats,thresh,iteration]=id_rec_process(img_gray,model,thresh*step_ratio,training_data_size,iteration+1);
- return
- end
- id_codes=blanks(18);
- if isempty(code_stats)
- id_bw=bw;
- return
- end
- [~,midx]=max([code_stats.Area]);
- mask=bwlabel(bwc)==midx;
- id_bw=imreconstruct(mask,bw);
- code_stats=regionprops(id_bw,'Image','Extent');
- if length(code_stats)~=18 && thresh*step_ratio<1
- [id_codes,id_bw,code_stats,thresh,iteration]=id_rec_process(img_gray,model,thresh*step_ratio,training_data_size,iteration+1);
- return
- end
- if length(code_stats)==18
- inputs=zeros(training_data_size(1)*training_data_size(2),18);
- for i=1:size(inputs,2)
- img=imresize(code_stats(i).Image,training_data_size);
- inputs(:,i)=img(:);
- end
-
- % predict
- if ~isempty(model)
- try
- output=model(inputs);
- [~,midx]=max(output);
- count=size(output,2);
- for i=1:count
- switch midx(i)
- case 1
- id_codes(i)='X';
- otherwise
- id_codes(i)=num2str(11-midx(i));
- end
- end
- catch e
- disp(e)
- for i=1:length(e.stack)
- disp(e.stack(i))
- end
- end
- end
- end
- end
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