指纹识别代码

ud.hComponent5Image = image(Img, ...
'Parent', ud.hComponent5Axes);
%=================================
% 112.5度
ud.hComponent6Axes = axes(Ax, ...
'Position', [5*hs+4*175 vs/2 175 175]);
% - Features:特征可视化
% - FingerCode:在数据库中加入该指纹
% - Check:指纹匹配
%
%
%指纹识别中一个至关重要的步骤就是中心点的确定。如果剪切指纹图像时出现了任何
%错误，你可以使用辅助的m文件"vedicentro.m"：它使得输入指纹可视化并计算指纹
%中心，借助于m函数"centralizing.m"。
% Defaults for image axes
Ax = Std;
Ax.Units = 'Pixels';
Ax.Parent = FpextractDemoFig;
Ax.ydir = 'reverse';
Ax.XLim = [.5 128.5];
Ax.YLim = [.5 128.5];
Ax.CLim = [0 1];
'Parent', ud.hComponent3Axes);
%================================
% 67.5度
ud.hComponent4Axes = axes(Ax, ...
'Position', [3*hs+2*175 vs/2 175 175]);
title('67.5度组成');
horizDecorations = 10; %调整大小.
vertDecorations = 45; %标题栏.
screenSize = get(0,'ScreenSize');
dx = screenSize(3) - figpos(1) - figpos(3) - horizDecorations;
Edit.BackgroundColor = 'white';
Edit.ForegroundColor = 'black';
Menu = Ctl;
Menu.Style = 'Popupmenu';
Text = Ctl;
Text.Style = 'text';
Text.HorizontalAlignment = 'left';
%框架
ud.hControlFrame = uicontrol(Std, ...
'Parent', FpextractDemoFig, ...
'Style', 'Frame', ...
'Units', 'pixels', ...
'Position', [vs/6 5*vs-vs/6-81 200 vs+vs/8], ...
if ~isempty(h)
figure(h(1))
return
end
screenD = get(0, 'ScreenDepth');
if screenD>8
grayres=256;
else
grayres=128;
end
FpextractDemoFig = figure( ...
'Name','指纹特征提取演示程序Modified by PRTsinghua@', ...
'Position', [cols-175 5*vs-vs/6 175 175]);
title('157.5度组成');
ud.hComponent8Image = image(Img, ...
'Parent', ud.hComponent8Axes);
%=================================
'BackgroundColor', bgcolor);
%====================================
%图像弹出菜单
ud.hImgPop = uicontrol(Menu, ...
'Position',[vs/6+vs/8 5*vs-2*vs/3+7 180 vs/16], ...
Ctl.Units = 'Pixels';
Ctl.Parent = FpextractDemoFig;
Btn = Ctl;
Btn.Style = 'pushbutton';
Btn.Enable = 'off';
Edit = Ctl;
Edit.Style = 'edit';
Edit.HorizontalAlignment = 'right';
Ax.XTick = [];
Ax.YTick = [];
Img = Std;
Img.CData = [];
Img.Xdata = [1 128];
Img.Ydata = [1 128];
Img.CDataMapping = 'Scaled';
Img.Erasemode = 'none';
Ctl = Std;
end
set(FpextractDemoFig, 'position', figpos);
rows = figpos(4);
cols = figpos(3);
% Colors
bgcolor = [0.45 0.45 0.45];%背景颜色
wdcolor = [.8 .8 .8];% Window颜色
title('原始指纹图像');
ud.hOriginalImage = image(Img, ...
'Parent', ud.hOriginalAxes);
ud.OriginalImageIsStale = 1;
%================================
% 157.5度
ud.hComponent8Axes = axes(Ax, ...
function fpextractdemo(action, varargin)
%FPEXTRACTDEMO指纹特征提取演示程序
% Modified by PRTsinghua@
%
%输入图像必须是256×256的灰度图
% 8-bit灰度级的图像@ 500 dpi.
%如果这些条件不满足，一些函数中的参数必须做相应的改变
title('0度');
ud.hComponent1Image = image(Img, ...
'Parent', ud.hComponent1Axes);
%================================
%原始指纹图像
ud.hOriginalAxes = axes(Ax, ...
'Position', [cols/2-128 5*vs-vs/6-81 256 256]);
dy = screenSize(4) - figpos(2) - figpos(4) - vertDecorations;
if (dx < 0)
figpos(1) = max(5,figpos(1) + dx);
end
if (dy < 0)
figpos(2) = max(5,figpos(2) + dy);
title('112.5度组成');
ud.hComponent6Image = image(Img, ...
'Parent', ud.hComponent6Axes);
%=================================
% 135度
ud.hComponent7Axes = axes(Ax, ...
% 22.5度
ud.hComponent2Axes = axes(Ax, ...
'Position', [hs vs/2 175 175]);
title('22.5度组成');
ud.hComponent2Image = image(Img, ...
'Parent', ud.hComponent2Axes);
'Position', [6*hs+5*175 vs/2 175 175]);
title('135度组成');
ud.hComponent7Image = image(Img, ...
'Parent', ud.hComponent7Axes);
%=================================
'String','Whorl|Twin loop|Left loop|Right loop|Other image', ...
'Callback','fpextractdemo(''LoadNewImage'')');