Face recognition Based on MATLAB bank monitoring system face recognition

function varargout = Main(varargin)
% MAIN MATLAB code for Main.fig
%      MAIN, by itself, creates a new MAIN or raises the existing
%      singleton*.
%
%      H = MAIN returns the handle to a new MAIN or the handle to
%      the existing singleton*.
%
%      MAIN('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in MAIN.M with the given input arguments.
%
%      MAIN('Property'.'Value',...). creates anew MAIN or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before Main_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to Main_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one % instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help Main

% Last Modified by GUIDE v2. 5 21-Nev- 2020. 01:12:36

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Main_OpeningFcn, ...
                   'gui_OutputFcn',  @Main_OutputFcn, ...
                   'gui_LayoutFcn', [],...'gui_Callback'[]);if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before Main is made visible.
function Main_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to Main (see VARARGIN)

% Choose default command line output for Main
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes Main wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = Main_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;



function edit1_Callback(hObject, eventdata, handles)
% hObject    handle to edit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit1 as text
%        str2double(get(hObject,'String')) returns contents of edit1 as a double


% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit2_Callback(hObject, eventdata, handles)
% hObject    handle to edit2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit2 as text
%        str2double(get(hObject,'String')) returns contents of edit2 as a double


% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit3_Callback(hObject, eventdata, handles)
% hObject    handle to edit3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit3 as text
%        str2double(get(hObject,'String')) returns contents of edit3 as a double


% --- Executes during object creation, after setting all properties.
function edit3_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit4_Callback(hObject, eventdata, handles)
% hObject    handle to edit4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit4 as text
%        str2double(get(hObject,'String')) returns contents of edit4 as a double


% --- Executes during object creation, after setting all properties.
function edit4_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end


% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
set(handles.edit1,'string'.'Idea: Make the face database of the person in the group photo in advance, and train it well')

% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonfacedetect (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% if the image has not been loadedif(~isfield(handles,'I'))
     str = sprintf('You haven't loaded the image yet! ');
    set(handles.reporttext,'string',str);
    return
end

I = handles.I;
[faceI,box] = facedetect(I);

ifAxes (~ isEmpty (faceI)) % Axes (handles. Axes1)'Position',box,'EdgeColor'.'r'); Axes (handles. Axes2) axes(faceI)else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


handles.faceI = faceI;
% Update handles structure
guidata(hObject, handles);
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
   set(handles.edit2,'string'.'Idea: From the group photo, locate the face, and divide it into the corresponding box to display')


% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonfacedetect (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% if the image has not been loadedif(~isfield(handles,'I'))
     str = sprintf('You haven't loaded the image yet! ');
    set(handles.reporttext,'string',str);
    return
end

I = handles.I;
[faceI,box] = facedetect(I);

ifAxes (~ isEmpty (faceI)) % Axes (handles. Axes1)'Position',box,'EdgeColor'.'r'); Axes (handles. Axes2) axes(faceI)else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


handles.faceI = faceI;
% Update handles structure
guidata(hObject, handles);
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
set(handles.edit3,'string'.'Idea: Identify each face individually')


% --- Executes on button press in pushbuttonfacedetect.
function pushbuttonfacedetect_Callback(hObject, eventdata, handles)
% hObject    handle to pushbuttonfacedetect (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% if the image has not been loadedif(~isfield(handles,'I'))
     str = sprintf('You haven't loaded the image yet! ');
    set(handles.reporttext,'string',str);
    return
end

I = handles.I;
[faceI,box] = facedetect(I);

ifAxes (~ isEmpty (faceI)) % Axes (handles. Axes1)'Position',box,'EdgeColor'.'r'); Axes (handles. Axes2) axes(faceI)else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


handles.faceI = faceI;
% Update handles structure
guidata(hObject, handles);

% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
set(handles.edit4,'string'.'Expansion: Application scenarios can be changed to classroom attendance, dormitory attendance, railway station and other public places')

% hObject    handle to pushbutton4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)



function edit5_Callback(hObject, eventdata, handles)
% hObject    handle to edit5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit5 as text
%        str2double(get(hObject,'String')) returns contents of edit5 as a double


% --- Executes during object creation, after setting all properties.
function edit5_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit6_Callback(hObject, eventdata, handles)
% hObject    handle to edit6 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit6 as text
%        str2double(get(hObject,'String')) returns contents of edit6 as a double


% --- Executes during object creation, after setting all properties.
function edit6_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit6 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit7_Callback(hObject, eventdata, handles)
% hObject    handle to edit7 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit7 as text
%        str2double(get(hObject,'String')) returns contents of edit7 as a double


% --- Executes during object creation, after setting all properties.
function edit7_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit7 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit8_Callback(hObject, eventdata, handles)
% hObject    handle to edit8 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit8 as text
%        str2double(get(hObject,'String')) returns contents of edit8 as a double


% --- Executes during object creation, after setting all properties.
function edit8_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit8 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end


% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles)
I = imread('5.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit5,'string',classlabel);
    drawnow
    
   
    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);


% hObject    handle to pushbutton9 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton10.
function pushbutton10_Callback(hObject, eventdata, handles)

I = imread('6.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton10 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton11.
function pushbutton11_Callback(hObject, eventdata, handles)

I = imread('7.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton11 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton12.
function pushbutton12_Callback(hObject, eventdata, handles)
I = imread('8.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);

% hObject    handle to pushbutton12 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)



function edit9_Callback(hObject, eventdata, handles)
% hObject    handle to edit9 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit9 as text
%        str2double(get(hObject,'String')) returns contents of edit9 as a double


% --- Executes during object creation, after setting all properties.
function edit9_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit9 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit10_Callback(hObject, eventdata, handles)
% hObject    handle to edit10 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit10 as text
%        str2double(get(hObject,'String')) returns contents of edit10 as a double


% --- Executes during object creation, after setting all properties.
function edit10_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit10 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit11_Callback(hObject, eventdata, handles)
% hObject    handle to edit11 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit11 as text
%        str2double(get(hObject,'String')) returns contents of edit11 as a double


% --- Executes during object creation, after setting all properties.
function edit11_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit11 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit12_Callback(hObject, eventdata, handles)
% hObject    handle to edit12 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit12 as text
%        str2double(get(hObject,'String')) returns contents of edit12 as a double


% --- Executes during object creation, after setting all properties.
function edit12_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit12 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end


% --- Executes on button press in pushbutton13.
function pushbutton13_Callback(hObject, eventdata, handles)
I = imread('9.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);

% hObject    handle to pushbutton13 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton14.
function pushbutton14_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('11.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton15 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton16.
function pushbutton16_Callback(hObject, eventdata, handles)
I = imread('12.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);

% hObject    handle to pushbutton16 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton17.
function pushbutton17_Callback(hObject, eventdata, handles)


[filename, pathname] = uigetfile( ...
{'*.jpg; *.png; *.jpeg'.'Image Files (*.bmp; *.jpg; *.png; *.jpeg)'; .'*. *'.'All Files (*.*)'},...'Pick an image');
if isequal(filename,0) || isequal(pathname,0).return; end fpath=[pathname filename]; % combine filename and directory name into a full path img=imread(fpath); axes(handles.axes1) imshow(img) title('Group photo')
msgbox('Interested, can add Q discussion, 1183814288')

% hObject    handle to pushbutton17 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton18.
function pushbutton18_Callback(hObject, eventdata, handles)
msgbox('Counting part of the idea: Locator implementation')
set(handles.reporttext,'string'.'Project Customization, Q: 1183814288')
% hObject    handle to pushbutton18 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton19.
function pushbutton19_Callback(hObject, eventdata, handles)
ax2=(handles.axes2); cla(ax2,'reset') ax3=(handles.axes3); cla(ax3,'reset') ax4=(handles.axes4); cla(ax4,'reset') ax5=(handles.axes5); cla(ax5,'reset')

% hObject    handle to pushbutton19 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)



function edit13_Callback(hObject, eventdata, handles)
% hObject    handle to edit13 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit13 as text
%        str2double(get(hObject,'String')) returns contents of edit13 as a double


% --- Executes during object creation, after setting all properties.
function edit13_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit13 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function reporttext_Callback(hObject, eventdata, handles)
% hObject    handle to reporttext (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of reporttext as text
%        str2double(get(hObject,'String')) returns contents of reporttext as a double


% --- Executes during object creation, after setting all properties.
function reporttext_CreateFcn(hObject, eventdata, handles)
% hObject    handle to reporttext (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit15_Callback(hObject, eventdata, handles)
% hObject    handle to edit15 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit15 as text
%        str2double(get(hObject,'String')) returns contents of edit15 as a double


% --- Executes during object creation, after setting all properties.
function edit15_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit15 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit16_Callback(hObject, eventdata, handles)
% hObject    handle to edit16 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit16 as text
%        str2double(get(hObject,'String')) returns contents of edit16 as a double


% --- Executes during object creation, after setting all properties.
function edit16_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit16 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit17_Callback(hObject, eventdata, handles)
% hObject    handle to edit17 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit17 as text
%        str2double(get(hObject,'String')) returns contents of edit17 as a double


% --- Executes during object creation, after setting all properties.
function edit17_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit17 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end



function edit18_Callback(hObject, eventdata, handles)
% hObject    handle to edit18 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit18 as text
%        str2double(get(hObject,'String')) returns contents of edit18 as a double


% --- Executes during object creation, after setting all properties.
function edit18_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit18 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0.'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor'.'white');
end


% --- Executes on button press in pushbutton20.
function pushbutton20_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('13.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    

guidata(hObject, handles);
% hObject    handle to pushbutton20 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton21.
function pushbutton21_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('14.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton21 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton22.
function pushbutton22_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('15.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
    %axes(handles.axes1)
    %imshow(faceI)
    strtitle = sprintf('Result %d person',classlabel);
    title(strtitle)

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton22 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton23.
function pushbutton23_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('16.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
    
   

    
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton23 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton24.
function pushbutton24_Callback(hObject, eventdata, handles)

I = imread('10.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value and location classLabel = TrainLabel (minIndex); % Indicates the class number % STR =sprintf('Identification complete. Identify this photo as person %d. ',classlabel);
    set(handles.edit4,'string',classlabel);
    drawnow
       
else
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton14 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton15.
function pushbutton15_Callback(hObject, eventdata, handles)

I = imread('11.bmp'); Handles.I = I; handles.faceI = I; % Update handles structure load trainresult.mat

if(isfield(handles,'faceI') && ~isempty(handles.faceI))% If a face faceI is detected= handles.faceI; [M,N,color] = size(faceI); % gets the size of the image, and the color typeif color == 3% If color image I = rGB2Gray (faceI); % to grayscale imageelseI = faceI; end % I1= imadjust(I1,stretchlim(I1)); Gray transform, image enhancementif (isequal([M,N],goalsize) == 0)% If not64*64I = imresize (I, goalsize); % becomes fixed64*64End samplesnum = size(PCAfeatures,1); % number of training samples I1 = I(:); % image conversion1The column matrix I1 is equal todouble(I1'); Z=(I1-mA); % minus mean feature1 = Z*V; PCA feature dd = Zeros (1,samplesnum);
    for j = 1Feature2 = PCAfeatures(j,:); D = dist(feature1,feature2); % Calculate the distance between features dd(j) = d; End [value,minindex] = min(dd); % minimum value, and the locationelse
   set(handles.reporttext,'string'.'No face detected, unable to identify! ');
end


guidata(hObject, handles);
% hObject    handle to pushbutton24 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
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Version: 2014 a