Handwritten number recognition based on MATLAB GUI SVM handwritten number recognition

function varargout = DigitClassifyUI(varargin)
%  

% DIGITCLASSIFYUI MATLAB code for DigitClassifyUI.fig
%      DIGITCLASSIFYUI, by itself, creates a new DIGITCLASSIFYUI or raises the existing
%      singleton*.
%
%      H = DIGITCLASSIFYUI returns the handle to a new DIGITCLASSIFYUI or the handle to
%      the existing singleton*.
%
%      DIGITCLASSIFYUI('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in DIGITCLASSIFYUI.M with the given input arguments.
%
%      DIGITCLASSIFYUI('Property'.'Value',...). creates anew DIGITCLASSIFYUI or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before DigitClassifyUI_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to DigitClassifyUI_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 DigitClassifyUI

% Last Modified by GUIDE v2. 5 10-Feb- 2021. 18:44:08

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
    'gui_Singleton',  gui_Singleton, ...
    'gui_OpeningFcn', @DigitClassifyUI_OpeningFcn, ...
    'gui_OutputFcn',  @DigitClassifyUI_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 DigitClassifyUI is made visible.
function DigitClassifyUI_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 DigitClassifyUI (see VARARGIN)

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

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes DigitClassifyUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);
global FigHandle AxesHandle RectHandle;
FigHandle = handles.output;
AxesHandle = handles.axes_write;
MouseDraw();
axis(handles.axes_write,[1 400 1 400]); RectHandle = Rectangle (handles. Axes_write,'Position'[80.66.240.268].'LineStyle'.The '-'.'EdgeColor'.'#a9a9a9');

% --- Outputs from this function are returned to the command line.
function varargout = DigitClassifyUI_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)


% --- Executes on button press in pushbutton_loadImage.
function pushbutton_loadImage_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton_loadImage (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global RectHandle;
cla(handles.axes_write, 'reset')
set(handles.axes_write, 'Visible'.'off');

set(handles.output, 'Pointer'.'arrow');
axis(handles.axes_write,[1 400 1 400]); RectHandle = Rectangle (handles. Axes_write,'Position'[80.66.240.268].'LineStyle'.The '-'.'EdgeColor'.'#a9a9a9'); % Popup file selection box, select a picture [file,path] = uigetFile ({'*.jpg; *.jpeg; *.png; *.bmp; *.tif'.'Image files (*.jpg,*.jpeg,*.png,*.bmp,*.tif)'},'Select a picture');
if isequal(file,0)% If the file does not existset(handles.edit_imagePath, 'String'.'Please select a picture');
elsefileName= fullfile(path, file); % The absolute path of the selected imageset(handles.edit_imagePath, 'String', fileName); InputImage = imread(fileName); image(handles.axes_raw, InputImage);set(handles.axes_raw, 'Visible'.'off');
    
    set(gcf, 'Pointer'.'arrow');
    set(gcf, 'WindowButtonMotionFcn'.'') set(gcf, 'WindowButtonUpFcn'.If numel(size(InputImage))==3 InputImage = rGB2Gray (InputImage); Axes (handles. Axes_gray); imshow(InputImage); else axes(handles.axes_gray); imshow(InputImage); End % binarization InputImage = imbinarize(InputImage); axes(handles.axes_binary); imshow(InputImage); % feature extraction InputImage = imresize(InputImage, [28, 28]); cellSize = [4 4]; [~, vis4x4] = extractHOGFeatures(InputImage,'CellSize'[4 4]);
    axes(handles.axes_features);
    plot(vis4x4);
    
    load('trainedSvmModel.mat'.'classifier');
    features(1, :) = extractHOGFeatures(InputImage,'CellSize',cellSize);
    predictedLabel = predict(classifier, features);
    str = string(predictedLabel);
    set(handles.text_result, 'String', str);
end
axes(handles.axes_write);
MouseDraw();
% set(gcf, 'WindowButtonDownFcn'."); % --- Executes on button press in pushbutton_load. function pushbutton_load_Callback(hObject, eventdata, handles) % hObject handle to pushbutton_load (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global RectHandle; axis(handles.axes_write,[1 400 1 400]); Set (handles. Edit_imagePath, 'handles.String'.'Please select a picture');
delete(RectHandle);
h=getframe(handles.axes_write);
imwrite(h.cdata,'writedImage.jpg');

InputImage = imread('writedImage.jpg');
% InputImage = cat(3, InputImage,InputImage,InputImage);
image(handles.axes_raw,InputImage);
set(handles.axes_raw, 'Visible'.'off');
axis(handles.axes_write,[1 400 1 400]); RectHandle = Rectangle (handles. Axes_write,'Position'[80.66.240.268].'LineStyle'.The '-'.'EdgeColor'.'#a9a9a9');
global FigHandle
set(FigHandle, 'Pointer'.'arrow');
set(FigHandle, 'WindowButtonMotionFcn'.'')
set(FigHandle, 'WindowButtonUpFcn'.'')
set(FigHandle, 'WindowButtonDownFcn'."); If numel(size(InputImage))==3 InputImage = rGB2Gray (InputImage); Axes (handles. Axes_gray); imshow(InputImage); else axes(handles.axes_gray); imshow(InputImage); End % binarization InputImage = imbinarize(InputImage); axes(handles.axes_binary); imshow(InputImage); % feature extraction InputImage = imresize(InputImage, [28, 28]); cellSize = [4 4]; [~, vis4x4] = extractHOGFeatures(InputImage,'CellSize'[4 4]);
axes(handles.axes_features);
plot(vis4x4);

load('trainedSvmModel.mat'.'classifier');
features(1, :) = extractHOGFeatures(InputImage,'CellSize',cellSize);
predictedLabel = predict(classifier, features);
str = string(predictedLabel);
set(handles.text_result, 'String', str);
MouseDraw();

% --- Executes on button press in pushbutton_clear.
function pushbutton_clear_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton_clear (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global RectHandle;
global FigHandle
set(FigHandle, 'Pointer'.'arrow');
set(FigHandle, 'WindowButtonMotionFcn'.'')
set(FigHandle, 'WindowButtonUpFcn'.'')
set(FigHandle, 'WindowButtonDownFcn'."); set(handles.edit_imagePath, 'String'.'Please select a picture');
set(handles.text_result, 'String'.'None');
cla(handles.axes_write, 'reset')
set(handles.axes_write, 'Visible'.'off');
cla(handles.axes_raw, 'reset')
set(handles.axes_raw, 'Visible'.'off');
cla(handles.axes_gray, 'reset')
set(handles.axes_gray, 'Visible'.'off');
cla(handles.axes_binary, 'reset')
set(handles.axes_binary, 'Visible'.'off');
cla(handles.axes_features, 'reset')
set(handles.axes_features, 'Visible'.'off');
set(handles.output, 'Pointer'.'arrow');

axis(handles.axes_write,[1 400 1 400]); RectHandle = Rectangle (handles. Axes_write,'Position'[80.66.240.268].'LineStyle'.The '-'.'EdgeColor'.'#a9a9a9');
MouseDraw();
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Version: 2014 a