基于matlab的人脸识别源代码

function varargout = FR_Processed_histogram(varargin)

%这种算法是基于直方图处理的方法

%The histogram of image is calculated and then bin formation is done on the

%basis of mean of successive graylevels frequencies. The training is done on odd images of 40 subjects (200 images out of 400 images)

%The results of the implemented algorithm is 99.75 (recognition fails on image number 4 of subject 17)

gui_Singleton = 1;

gui_State = struct('gui_Name', mfilename, ...

'gui_Singleton', gui_Singleton, ...

'gui_OpeningFcn',

@FR_Processed_histogram_OpeningFcn, ...

'gui_OutputFcn',

@FR_Processed_histogram_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 FR_Processed_histogram is made visible.

function FR_Processed_histogram_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 FR_Processed_histogram (see VARARGIN)

% Choose default command line output for FR_Processed_histogram

handles.output = hObject;

% Update handles structure

guidata(hObject, handles);

% UIWAIT makes FR_Processed_histogram wait for user response (see UIRESUME)

% uiwait(handles.figure1);

global total_sub train_img sub_img max_hist_level bin_num form_bin_num;

total_sub = 40;

train_img = 200;

sub_img = 10;

max_hist_level = 256;

bin_num = 9;

form_bin_num = 29;

%--------------------------------------------------------------------------

% --- Outputs from this function are returned to the command line.

function varargout = FR_Processed_histogram_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 train_button.

function train_button_Callback(hObject, eventdata, handles)

% hObject handle to train_button (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global train_processed_bin;

global total_sub train_img sub_img max_hist_level bin_num form_bin_num;

train_processed_bin(form_bin_num,train_img) = 0;

K = 1;