【指纹识别】基于matlab GUI指纹识别门禁系统【含Matlab源码 1692期】

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function varargout = zwsb2(varargin) % ZWSB2 M-file for zwsb2.fig %      ZWSB2, by itself, creates a new ZWSB2 or raises the existing %      singleton*. % %      H = ZWSB2 returns the handle to a new ZWSB2 or the handle to %      the existing singleton*.
%
%      ZWSB2('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in ZWSB2.M with the given input arguments.
%
%      ZWSB2('Property','Value',...) creates a new ZWSB2 or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before zwsb2_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to zwsb2_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 zwsb2

% Last Modified by GUIDE v2.5 30-Jan-2022 23:28:44

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @zwsb2_OpeningFcn, ...
                   'gui_OutputFcn',  @zwsb2_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 zwsb2 is made visible.
function zwsb2_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 zwsb2 (see VARARGIN)

% Choose default command line output for zwsb2
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes zwsb2 wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = zwsb2_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 togglebutton1.

function togglebutton1_Callback(hObject, eventdata, handles)
% hObject    handle to togglebutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clear all;
close all;
clc;
global im1;
[filename,pathname]=uigetfile({ 
        '*.*';'*.bmp';'*.jpg';'*.tif';'*.jpg'},'选择图像一');%uigetfile()函数的使用
if isequal(filename,0)||isequal(pathname,0)
  errordlg('您还没有选取图片！！','温馨提示');%如果没有输入，则创建错误对话框 
  return;
else
    image=[pathname,filename];%合成路径+文件名
    im1=imread(image);%读取图像
    
end
global im2;
[filename,pathname]=uigetfile({ 
        '*.*';'*.bmp';'*.jpg';'*.tif';'*.jpg'},'选择图像二');
if isequal(filename,0)||isequal(pathname,0)
  errordlg('您还没有选取图片！！','温馨提示');%如果没有输入，则创建错误对话框 
  return;
else
    image=[pathname,filename];%合成路径+文件名
    im2=imread(image);%读取图像
    
end
f1=double(im1)/255; 
g1=double(im2)/255; %将图像转化为double类型
%② 将图像转换为灰度模式 
Img = f1;
if ndims(Img) == 3
    f2 =rgb2gray(Img);
else
    f2 = Img;
end
Img = g1;
if ndims(Img) == 3
    g2 =rgb2gray(Img);
else
    g2 = Img;
end
%③ 图像分割
f3 =imgcut(f2);
g3 =imgcut(g2);
%④ 图像滤波
f4 = medfilt2 (f3);
g4 = medfilt2 (g3);
%⑤ 二值化图像及二值化后处理
f5 = imgbin (f4);
g5 = imgbin (g4);
%⑥ 图像细化
f6 = imgthi (f5);
g6 = imgthi (g5);
%⑦ 特征点提取
f7 = imgpoi (f6);
g7 = imgpoi (g6);
%⑧ 指纹特征比对 
R = imgcom (f7,g7);
%⑨ 计算两组样本特征点的相关系数

1 matlab版本 2014a

2 参考文献 [1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社，2020. [2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社，2013. [3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社，2013. [4]刘成龙.精通MATLAB图像处理[M].清华大学出版社，2015. [5]刘艳华.基于MATLAB/GUI的指纹识别系统设计[J].信息与电脑(理论版). 2021,33(18)