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facerecog.m
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function varargout = facerecog(varargin)
% FACERECOG MATLAB code for facerecog.fig
% FACERECOG, by itself, creates a new FACERECOG or raises the existing
% singleton*.
%
% H = FACERECOG returns the handle to a new FACERECOG or the handle to
% the existing singleton*.
%
% FACERECOG('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in FACERECOG.M with the given input arguments.
%
% FACERECOG('Property','Value',...) creates a new FACERECOG or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before facerecog_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to facerecog_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 facerecog
% Last Modified by GUIDE v2.5 02-Feb-2017 18:36:45
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @facerecog_OpeningFcn, ...
'gui_OutputFcn', @facerecog_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 facerecog is made visible.
function facerecog_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 facerecog (see VARARGIN)
% Choose default command line output for facerecog
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
movegui(hObject,'center');
% UIWAIT makes facerecog wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = facerecog_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;
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, 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)
[nama_file,nama_path] = uigetfile({'*.*'});
if ~isequal(nama_file,0)
Im = imread(fullfile(nama_path,nama_file));
axes(handles.axes1)
imshow(Im)
handles.Im = Im;
guidata(hObject,handles)
else
return
end
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, 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)
Im = handles.Im;
facedetector = vision.CascadeObjectDetector('FrontalFaceCART');
gray_images = rgb2gray(Im); %Convert RGB Image to Grayscale Image
images_gray = medfilt2(gray_images); %Noise Removal using Median Filter
BB = step(facedetector, images_gray); %Face Detection using Viola Jones Algorithm
N = size(BB,1);
handles.N = N;
counter=1;
for i = 1:N
face = imcrop(images_gray,BB(i,:)); %Cropping based on detected face
end
rect = [80 70 140 175];
crop_face = imcrop(face, rect); %Cropping based on xmin ymin width height
axes(handles.axes2);
imshow(crop_face);
%Statistical Texture Feature Extraction
I3 = double(crop_face);
m = mean(I3(:));
s = skewness(I3(:));
k = kurtosis(I3(:));
e = entropy(crop_face);
%v = var(I3(:));
%GLCM Texture Feature Extraction
GLCM = graycomatrix(crop_face,'Offset',[0 1; -1 1; -1 0; -1 -1]);
stats = graycoprops(GLCM,{'contrast','correlation','energy','homogeneity'});
contrast = mean(stats.Contrast);
correlation = mean(stats.Correlation);
energy = mean(stats.Energy);
homogeneity = mean(stats.Homogeneity);
%testing
input = [m;s;k;e;contrast;correlation;energy;homogeneity];
load trnfismat.mat
output = round(sim(net,input));
if output == 1
class = 'Adam';
elseif output == 2
class = 'Sam';
elseif output == 3
class = 'Wemdy';
end
set(handles.edit1,'String',class);
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