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【图像识别】基于模板匹配算法实现手写英文字母识别matlab代码

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1 简介

人类文明的发展离不开信息的传递.文字一直是人们传递信息的一个重要媒介,承载着记录人类文明的重要使命.随着科技的发展,积累的文字信息日益增多,有效的存储和利用这些文字信息成为一个亟待解决的问题.光学字符识别的出现为这一问题提供了解决方法.手写体数字识别是光学字符识别的重要分支,因其在金融,邮政,医疗,交通,教育等领域中广泛的应用而日益被重视.目前,已有多种手写体数字识别算法,但都很难满足手写体数字识别应用时对识别率近乎百分之百的要求,所以,几乎没有能够实际应用的识别算法. 本文采用模板匹配算法实现手写体数字识别。​

2 部分代码

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

% Last Modified by GUIDE v2.5 05-May-2019 16:46:08

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

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

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes IdentifyEnglish wait for user response (see UIRESUME)
% uiwait(handles.figure1);
axis([0 240 0 240]);

% --- Outputs from this function are returned to the command line.
function varargout = IdentifyEnglish_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;
clc;

% --- Executes on button press in pushbuttonSave.
function pushbuttonSave_Callback(hObject, eventdata, handles)
% hObject   handle to pushbuttonSave (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
[f, p] = uiputfile({'*.bmp'},'save image file');%打开用于保存文件的对话框
str = strcat(p,f);  %连接两个字符串(把路径和文件串联起来)
px = getframe(handles.axes1);%使用 getframe 来将图像捕获为影片帧。
CurImg = frame2im(px);%然后,frame2im将捕获的影片帧转换为图像数据。
imwrite(CurImg,str,'bmp');


% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonDownFcn(hObject, eventdata, handles)
% hObject   handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
global ButtonDown pos1
if strcmp(get(gcf,'SelectionType'),'normal')
   ButtonDown = 1;
   pos1 = get(handles.axes1,'CurrentPoint');
%     disp(pos1);
end




% --- Executes on mouse motion over figure - except title and menu.
function figure1_WindowButtonMotionFcn(hObject, eventdata, handles)
% hObject   handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
global ButtonDown pos1
if(ButtonDown == 1)
   pos = get(handles.axes1,'CurrentPoint');
   line([pos1(1,1) pos(1,1)],[pos1(1,2) pos(1,2)],'LineStyle','-','LineWidth',8,'color','black','marker','.','markerSize',25);
pos1 = pos;
end


% --- Executes on mouse press over figure background, over a disabled or
% --- inactive control, or over an axes background.
function figure1_WindowButtonUpFcn(hObject, eventdata, handles)
% hObject   handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
global ButtonDown
ButtonDown = 0;


% --- Executes on button press in pushbuttonClear.
function pushbuttonClear_Callback(hObject, eventdata, handles)
% hObject   handle to pushbuttonClear (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
cla;

% --- Executes on button press in pushbuttonIdentify.
function pushbuttonIdentify_Callback(hObject, eventdata, handles)
% hObject   handle to pushbuttonIdentify (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles   structure with handles and user data (see GUIDATA)
strSample = 'pattern.mat';
px = getframe(handles.axes1);
CurImg = frame2im(px);
%figure; imshow(CurImg);
CurFea = GetFeature(CurImg);%把CurImg属性改成为5x5
load('pattern.mat');
label = Identify(pattern,CurFea);
% msgbox(['字母识别为: ' label],'msg');
str = ['字母识别为:',label];
f = warndlg(str,'字母识别结果');

3 仿真结果

4 参考文献

[1]高彤, 吕民. 基于模板匹配的手写体字符识别方法[J]. 哈尔滨工业大学学报, 1999, 31(1):3.

部分理论引用网络文献,若有侵权联系博主删除。

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