whenever i call the recognition push button in my gui interface the error message is showing

Question

indrani dalui 2020-5-1

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/522203-whenever-i-call-the-recognition-push-button-in-my-gui-interface-the-error-message-is-showing

关闭： MATLAB Answer Bot 2021-8-20

CODE

% --- Executes on button press in Recognation.
function Recognation_Callback(hObject, eventdata, handles)
% hObject    handle to Recognation (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
CCoeff = corr2(A,B)
  if CCoeff > 0.7 % (choose a value < 1) % image 1 and image 2 are compared
      msgbox('Both A and B are similar', 'MESSAGE');
  else
      msgbox('A and B are not similar', 'MESSAGE');
  end

ERROR

  Error in matching (line 42)
    gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)matching('Recognation_Callback',hObject,eventdata,guidata(hObject)) 
Error while evaluating UIControl Callback.

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Answer 1

Geoff Hayes 2020-5-1

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https://ww2.mathworks.cn/matlabcentral/answers/522203-whenever-i-call-the-recognition-push-button-in-my-gui-interface-the-error-message-is-showing#answer_429571

在 MATLAB Online 中打开

indrani - you haven't posted the full error message but presumably it has something to do with

CCoeff = corr2(A,B)

where A and B aren't defined. How or where have these variables been set previously in your code? Consider adding them to the handles structure so that all callbacks have access to this data. See guidata for details on how you can do this.

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indrani dalui 2020-5-2

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sir, if i want to put the following code instade of the previous matching part what changes should i have to make.

% FINGERPRINT MATCHING SCORE
%
% Usage:  [ S ] = match( M1, M2, display_flag );
%
% Argument:   M1 -  First Minutiae 
%             M2 -  Second Minutiae
%             display_flag
%               
% Returns:    S - Similarity Measure
function [ S ] = match( M1, M2, display_flag )
    if nargin==2; display_flag=0; end
    M1=M1(M1(:,3)<5,:);
    M2=M2(M2(:,3)<5,:);    
    count1=size(M1,1); count2=size(M2,1); 
    bi=0; bj=0; ba=0; % Best i,j,alpha
    S=0;            % Best Similarity Score
    for i=1:count1
        T1=transform(M1,i);
        for j=1:count2
            if M1(i,3)==M2(j,3)
                T2=transform(M2,j);
                for a=-5:5                      %Alpha
                    T3=transform2(T2,a*pi/180);
                    sm=score(T1,T3);
                    if S<sm
                        S=sm;
                        bi=i; bj=j; ba=a;
                    end                
                end
            end
        end
    end
    if display_flag==1
        figure, title(['Similarity Measure : ' num2str(S)]);
        T1=transform(M1,bi);
        T2=transform(M2,bj);
        T3=transform2(T2,ba*pi/180);
        plot_data(T1,1);
        plot_data(T3,2);
    end
end