📄 guisb.m
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function varargout = guisb(varargin)
% GUISB M-file for guisb.fig
% GUISB, by itself, creates a new GUISB or raises the existing
% singleton*.
%
% H = GUISB returns the handle to a new GUISB or the handle to
% the existing singleton*.
%
% GUISB('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in GUISB.M with the given input arguments.
%
% GUISB('Property','Value',...) creates a new GUISB or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before guisb_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to guisb_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
% Copyright 2002-2003 The MathWorks, Inc.
% Edit the above text to modify the response to help guisb
% Last Modified by GUIDE v2.5 22-Nov-2008 23:17:52
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @guisb_OpeningFcn, ...
'gui_OutputFcn', @guisb_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 guisb is made visible.
function guisb_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 guisb (see VARARGIN)
% Choose default command line output for guisb
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes guisb wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = guisb_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;
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
% --- 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)
%******************************************************************************%
%制作模板
duqu=char('E:\0.jpg','E:\1.jpg','E:\2.jpg','E:\3.jpg','E:\4.jpg','E:\5.jpg',...
'E:\6.jpg','E:\7.jpg','E:\8.jpg','E:\9.jpg','E:\a.jpg','E:\b.jpg','E:\c.jpg',...
'E:\d.jpg','E:\e.jpg','E:\f.jpg','E:\g.jpg','E:\h.jpg','E:\i.jpg','E:\j.jpg',...
'E:\k.jpg','E:\l.jpg','E:\m.jpg','E:\n.jpg','E:\o.jpg','E:\p.jpg','E:\q.jpg',...
'E:\r.jpg','E:\s.jpg','E:\t.jpg','E:\u.jpg','E:\v.jpg','E:\w.jpg','E:\x.jpg',...
'E:\y.jpg','E:\z.jpg');%可以在这这里继续添加你的文件名字
tmp=size(duqu); %求矩阵duqu的行值及列值
m=tmp(1); %文件的个数
for k=1:m
a=deblank(duqu(k,:));%取出矩阵duqu的第k行的所有元素并转化为字符串即为第k个文件的文件路径
P{k}=imread(a);%读取模板图片数据
r=double(P{k}(:,:,1));
g=double(P{k}(:,:,2));
b=double(P{k}(:,:,3));
%图像边缘清晰化处理
for i=1:length(r(:,1))
for j=1:length(r(1,:))
if(r(i,j)<=127.5)
r(i,j)=0;
else
r(i,j)=255;
end
if(g(i,j)<=127.5)
g(i,j)=0;
else
g(i,j)=255;
end
if(b(i,j)<=127.5)
b(i,j)=0;
else
b(i,j)=255;
end
end
end
P{k}=(r+g+b)/3;
for i=1:length(P{k}(:,1))
for j=1:length(P{k}(1,:))
if(P{k}(i,j)<=127.5)
P{k}(i,j)=0;
else
P{k}(i,j)=1;
end
end
end
X{k}=P{k}; %将模板图片二值化
%寻找边界
%寻找下边界
shang=0;xia=0;zuo=0;you=0;%模板图片边缘初值
for i=1:length(X{k}(:,1))
for j=1:length(X{k}(1,:))
if(X{k}(i,j)==0)
xia=i;break;
end
end
end
%寻找右边界
for i=1:length(X{k}(1,:))
for j=1:length(X{k}(:,1))
if(X{k}(j,i)==0)
you=i;break;
end
end
end
X{k}=X{k}';
%寻找左边界
for i=length(X{k}(:,1)):-1:1
for j=length(X{k}(1,:)):-1:1
if(X{k}(i,j)==0)
zuo=i;break;
end
end
end
%寻找上边界
for i=length(X{k}(1,:)):-1:1
for j=length(X{k}(:,1)):-1:1
if(X{k}(j,i)==0)
shang=i;break;
end
end
end
%模板图片上下左右边界
h=[shang xia zuo you];
X{k}=X{k}';
%截取模板
moban{k}=zeros(xia-shang,you-zuo);%定义模板初值
for i=shang:xia
for j=zuo:you
moban{k}(i-shang+1,j-zuo+1)=X{k}(i,j);
end
end
end
%******************************************************************************%
%识别
duqu=char(get(handles.edit1,'string'));%获取edit内的内容（待识别文件路径）并作为矩阵赋给duqu矩阵
tmp=size(duqu); %求矩阵duqu的行值及列值
n=tmp(1); %文件的个数
for k=1:n
a=deblank(duqu(k,:));%取出矩阵duqu的第k行的所有元素并转化为字符串即为第k个文件的文件路径
Pp{k}=imread(a);%读取待识别图片数据
rr=double(Pp{k}(:,:,1));
gg=double(Pp{k}(:,:,2));
bb=double(Pp{k}(:,:,3));
for i=1:length(rr(:,1))
for j=1:length(rr(1,:))
if(rr(i,j)<=127.5)
rr(i,j)=0;
else
rr(i,j)=255;
end
if(gg(i,j)<=127.5)
gg(i,j)=0;
else
gg(i,j)=255;
end
if(bb(i,j)<=127.5)
bb(i,j)=0;
else
bb(i,j)=255;
end
end
end
Pp{k}=(rr+gg+bb)/3;
for i=1:length(Pp{k}(:,1))
for j=1:length(Pp{k}(1,:))
if(Pp{k}(i,j)<=127.5)
Pp{k}(i,j)=0;
else
Pp{k}(i,j)=1;
end
end
end
Xx{k}=Pp{k}; %将模板图片二值化 %将待识别图片二值化
kongbai=0;%空白格初值
%统计待识别图片空白格个数
for i=1:length(Xx{k}(:,1))
for j=1:length(Xx{k}(1,:))
if(Xx{k}(i,j)==1)
kongbai=kongbai+1;
end
end
end
%计算空白格所占比例
bili(k)=kongbai/(length(Xx{k}(:,1))*length(Xx{k}(1,:)));
if(bili(k)<=0.99) %空白格所占比例大于95%时认为是空白图片
%寻找边界
%寻找下边界
shang=0;xia=0;zuo=0;you=0;%待识别图片边缘初值
for i=1:length(Xx{k}(:,1))
for j=1:length(Xx{k}(1,:))
if(Xx{k}(i,j)==0)
xia=i;break;
end
end
end
%寻找右边界
for i=1:length(Xx{k}(1,:))
for j=1:length(Xx{k}(:,1))
if(Xx{k}(j,i)==0)
you=i;break;
end
end
end
Xx{k}=Xx{k}';
%寻找左边界
for i=length(Xx{k}(:,1)):-1:1
for j=length(Xx{k}(1,:)):-1:1
if(Xx{k}(i,j)==0)
zuo=i;break;
end
end
end
%寻找上边界
for i=length(Xx{k}(1,:)):-1:1
for j=length(Xx{k}(:,1)):-1:1
if(Xx{k}(j,i)==0)
shang=i;break;
end
end
end
h=[shang xia zuo you];
Xx{k}=Xx{k}';
%截取待识别图片
sb{k}=zeros(xia-shang,you-zuo);%定义截取后待识别图片初值
for i=shang:xia
for j=zuo:you
sb{k}(i-shang+1,j-zuo+1)=Xx{k}(i,j);
end
end
end
end
%*******************************************************************************%
%模式匹配
c=num2str(zeros(37,1));%申请列向量用于存放模板对应的值
b=num2str(zeros(n,1)); %申请列向量用于存放识别对应的值
c(i)=char(' '); %初值为空格
b(1)=char(' '); %初值为空格
hang=65;lie=45;s=1; %分别为矩阵缩放行列数及b向量下标的起使值
for t=1:n
if(bili(t)<=0.99) %如果空白格所占比例小于95%时
sb{t}=imresize(sb{t},[hang lie]);%将待识别图片矩阵缩放为65行45列
for k=1:36
moban{k}=imresize(moban{k},[hang lie]);;%将模板矩阵缩放为65行45列
w1(k)=1-((sum(sum((sb{t}-moban{k}).*(sb{t}-moban{k}))))/(hang*lie))^0.5;%计算海明贴近度
w2(k)=1-sum(sum(abs(sb{t}-moban{k})))/(hang*lie);%计算欧几里得贴近度
end
r=0.5*(w1+w2);%海明贴近度和欧几里得贴近度进行加权
[MAX,K]=max(r);%求最大权值对应的模板位置
%将模板对应为相应字符
switch K
case 1
c(1)=char('0');
case 2
c(2)=char('1');
case 3
c(3)=char('2');
case 4
c(4)=char('3');
case 5
c(5)=char('4');
case 6
c(6)=char('5');
case 7
c(7)=char('6');
case 8
c(8)=char('7');
case 9
c(9)=char('8');
case 10
c(10)=char('9');
case 11
c(11)=char('A');
case 12
c(12)=char('B');
case 13
c(13)=char('C');
case 14
c(14)=char('D');
case 15
c(15)=char('E');
case 16
c(16)=char('F');
case 17
c(17)=char('G');
case 18
c(18)=char('H');
case 19
c(19)=char('I');
case 20
c(20)=char('J');
case 21
c(21)=char('K');
case 22
c(22)=char('L');
case 23
c(23)=char('M');
case 24
c(24)=char('N');
case 25
c(25)=char('O');
case 26
c(26)=char('P');
case 27
c(27)=char('Q');
case 28
c(28)=char('R');
case 29
c(29)=char('S');
case 30
c(30)=char('T');
case 31
c(31)=char('U');
case 32
c(32)=char('V');
case 33
c(33)=char('W');
case 34
c(34)=char('X');
case 35
c(35)=char('Y');
case 36
c(36)=char('Z');
end
else %空白格所占比例大于95%时认为是空白图片
K=t;%在空白格所占比例大于95%时给K赋初值
c(K)=char('#');%在空白格所占比例大于95%时对应#
end
syms p %定义符号变量p
p=c(K);
if(abs(p)~=32)%如果变量p中的值的ASCII码，若其ASCII值不等于空格则赋给向量b
b(s)=c(K);
s=s+1;
end
end
set(handles.edit2,'string',b);%将识别结果显示在文本框内
clear %清空变量
%*********************************************************************************%
% --- 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)
%********************************************************************************%
set(handles.edit1,'string',''); %清空输入文本框
set(handles.edit2,'string',''); %清空输出文本框
%********************************************************************************%
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
function edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (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⌨️ 快捷键说明
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