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一、项目简介

基于Matlab数字图像处理的指纹识别系统是一个综合性的解决方案。该系统在MATLAB环境下实现，涵盖了从指纹图像预处理、特征提取到匹配算法的全过程，还提供使用GUI进行指纹比对和管理指纹库的功能，并且具备实时预警机制，涉及图像处理工具箱、特征检测算法和事件驱动编程，可用于学习和项目开发。

二、部分源码

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)

global image1

global thin1

[thin1,bw]=pre_process(image1);

axes(handles.axes2);

imshow(bw);title('二值化处理');

set(handles.edit1,'string','二值化处理');

% --- 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)

global thin1

axes(handles.axes5);

imshow(thin1);title('细化处理');

set(handles.edit1,'string','细化处理中');

% --- Executes on button press in pushbutton4.

function pushbutton4_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton4 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global thin1

global txy1

[txy1,count]=point(thin1);

for i=1:count - 1

x(i) =txy1(i, 1);

y(i)= txy1(i, 2);

end

axes(handles.axes6);

imshow(thin1);title('特征提取');

hold on;

plot(x,y,'bo');

set(handles.edit1,'string','特征提取');

% --- Executes on button press in pushbutton5.

function pushbutton5_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton5 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global txy1

global thin1;

global pxy31

smooth_img=smooth(thin1,txy1);

txy1=cut(smooth_img,txy1);

axes(handles.axes6);

imshow(smooth_img);title('光滑处理');

hold on;

plot(txy1(:,1),txy1(:,2),'ro');

[pxy31,error2]=last1(thin1,8,txy1,60);

set(handles.edit1,'string','光滑处理');

% --- Executes on button press in pushbutton6.

function pushbutton6_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton6 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global image2

[filename,pathname]=uigetfile({'*.tif';'*.*'},'载入指纹');

if isequal(filename,0)|isequal(pathname,0)

errordlg('没有选中文件','出错');

return;

else

file=[pathname,filename];

image2=imread(file);

show_image(image2,handles,3,'指纹图象2');

end

set(handles.edit1,'string','载入指纹图象2');

% --- Executes on button press in pushbutton7.

function pushbutton7_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton7 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global image2

global thin2

[thin2,bw]=pre_process(image2);

axes(handles.axes4);

imshow(bw);title('二值化处理');

set(handles.edit1,'string','二值化处理');

% --- Executes on button press in pushbutton8.

function pushbutton8_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton8 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

global thin2

axes(handles.axes7);

imshow(thin2);title('细化处理');

set(handles.edit1,'string','细化处理中');

三、运行结果

四、总结

基于Matlab数字图像处理的指纹识别系统主要围绕图像预处理、特征提取、特征匹配等关键步骤展开，以实现准确的指纹识别。系统先对原始指纹图像进行归一化与切割，接着开展图像二值化与细化操作，然后寻找中心点并提取特征点，最后计算特征与数据库特征的欧氏距离，选择最相似指纹图像并显示识别结果，且可在数据库中增添指纹图像，具有很好的识别效果。

五、代码获取

接matlab程序定制和论文设计，方向如下：

图像处理｜语音识别｜图像识别｜目标检测｜深度学习｜神经网络｜强化学习｜机器学习｜通信系统｜信号处理｜时频分析｜小波降噪｜路径规划｜优化算法｜智能算法｜数据处理｜数学建模｜文献复现｜算法复现｜模型复现等

程序包运行成功，零基础的可以远程帮你运行，赠送安装包。

作为初学者，遇见不会的问题是非常正常的事情，具体代码仿真可通过主页 私信博主。