1 基于BP神经网络手写数字识别模型介绍
模型参考这里。
2 部分代码
function varargout = number_reconginize(varargin) % NUMBER_RECONGINIZE MATLAB code for number_reconginize.fig % NUMBER_RECONGINIZE, by itself, creates a new NUMBER_RECONGINIZE or raises the existing % singleton*. % % H = NUMBER_RECONGINIZE returns the handle to a new NUMBER_RECONGINIZE or the handle to % the existing singleton*. % % NUMBER_RECONGINIZE('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in NUMBER_RECONGINIZE.M with the given input arguments. % % NUMBER_RECONGINIZE('Property','Value',...) creates a new NUMBER_RECONGINIZE or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before number_reconginize_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to number_reconginize_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 number_reconginize % Last Modified by GUIDE v2.5 06-Apr-2020 18:32:38 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @number_reconginize_OpeningFcn, ... 'gui_OutputFcn', @number_reconginize_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 number_reconginize is made visible. function number_reconginize_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 number_reconginize (see VARARGIN) % Choose default command line output for number_reconginize handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes number_reconginize wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = number_reconginize_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 open_image. function open_image_Callback(hObject, eventdata, handles) % hObject handle to open_image (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) [filename,pathname]=uigetfile({'*.png';'*.bmp';'*.tif';'*.jpg';'*.*'},'载入图像'); if isequal(filename,0)|isequal(pathname,0) errordlg('没有选中文件','出错'); return; else file=[pathname,filename]; global S %设置一个全局变量S,保存初始图像路径,以便之后的还原操作 S=file; x=imread(file); set(handles.axes1,'HandleVisibility','ON'); axes(handles.axes1); 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
3 运行结果
4 参考文献
[1]张彤, 肖南峰. 基于BP网络的数字识别方法[J]. 重庆理工大学学报(自然科学版), 2010.
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