Matlab验证码识别

Dear 丶 2023-01-01 03:53 210阅读 0赞

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一、课题介绍

随着互联网技术的发展和应用，网络在给人们提供丰富资源和极大便利的同时，伴随而来的是互联网系统的安全性问题。而数字验证码的出现证书加强web系统安全性的产物。研究数字验证码的识别显得非常有必要。

本设计基于MATLAB hu不变矩，进行数字验证码的识别，建立一个模板库，采用GUI设计界面，自由读取数字验证码进行识别并且输出0-9这10个数字。

二、GUI界面设计

![v2-751d2cb011315579e4c6d4d34edd4027\_b.jpg][v2-751d2cb011315579e4c6d4d34edd4027_b.jpg]

三、运行截图

![v2-9537361163202dbc0844a089b930fac4\_b.jpg][v2-9537361163202dbc0844a089b930fac4_b.jpg]

四、源码
    1、打开图像
    file = fullfile(pwd, 'test/下载.jpg');
    [Filename, Pathname] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';...
        '*.*','All Files' }, '载入验证码图像',...
        file);
    if isequal(Filename, 0) || isequal(Pathname, 0)
        return;
    end
    % 显示图像
    axes(handles.axes1); cla reset;
    axes(handles.axes2); cla reset;
    set(handles.axes1, 'Box', 'on', 'Color', 'c', 'XTickLabel', '', 'YTickLabel', '');
    set(handles.axes2, 'Box', 'on', 'Color', 'c', 'XTickLabel', '', 'YTickLabel', '');
    set(handles.axes3, 'Box', 'on', 'Color', 'c', 'XTickLabel', '', 'YTickLabel', '');
    set(handles.axes4, 'Box', 'on', 'Color', 'c', 'XTickLabel', '', 'YTickLabel', '');
     
    %set(handles.text4, 'String', '');
    % 存储
    fileurl = fullfile(Pathname,Filename);
    Img = imread(fileurl);
    imshow(Img, [], 'Parent', handles.axes1);
    title('原图')
    
    2、去噪
    % 颜色空间转换
    hsv = rgb2hsv(Img);
    h = hsv(:, :, 1);
    s = hsv(:, :, 2);
    v = hsv(:, :, 3);
     
    bw1 = h > 0.16 & h < 0.30;
    bw2 = s > 0.65 & s < 0.80;
    bw = bw1 & bw2;
    
    3、定位
    while s1 < sz(2)
        for i = s1 : sz(2)
            % 移动游标
            s2 = i;
            if cs(s2) < tol && flag == 1
                % 达到起始位置
                flag = 2;
                S1 = [S1 s2-1];
                break;
            elseif cs(s2) >= tol && flag == 2
                % 达到结束位置
                flag = 1;
                E1 = [E1 s2];
                break;
            end
        end
        s1 = s2 + 1;
    end
    
    4、分割
    % 加入红色边框
    Ti = handles.Ti;
    It = [];
    spcr = ones(size(Ti{1}, 1), 3)*255;
    spcg = ones(size(Ti{1}, 1), 3)*0;
    spcb = ones(size(Ti{1}, 1), 3)*0;
    spc = cat(3, spcr, spcg, spcb);
    % 整合到一起
    length(Ti)
    It = [It spc];
    for i = 1 : length(Ti)
        ti = Ti{i};    
        ti = cat(3, ti, ti, ti);   
        ti = im2uint8(mat2gray(ti));
        axes(handles.(sprintf('axes%d', i+4)));
        imshow(ti)
        It = [It ti spc];
        
    end
    imshow(It, [], 'Parent', handles.axes4); hold on;
    5、识别
    % 比对识别
    fileList = GetAllFiles(fullfile(pwd, 'Databse'));%GetALLFiles.m这个是子函数，到文件夹对应看这个代码
    Tj = [];
    for i = 1 : length(fileList)%
        filenamei = fileList{i};
        [pathstr, name, ext] = fileparts(filenamei);
        if isequal(ext, '.jpg')
            ti = imread(filenamei);
            ti = im2bw(ti, 0.5);
            ti = double(ti);
            % 提取不变矩特征数据
            phii = invmoments(ti);%invmoments.m
            % 开始比对
            OTj = [];
            for j = 1 : length(Ti)
                tij = double(Ti{j});
                phij = invmoments(tij);
                ad = norm(phii-phij);%不变矩对比做差
                otij.filename = filenamei;
                otij.ad = ad;
                OTj = [OTj otij];
            end
            Tj = [Tj; OTj];
        end
    end
    % 生成结果
    r = [];
    for i = 1 : size(Tj, 2)
        ti = Tj(:, i);
        adi = cat(1, ti.ad);
        [minadi, ind] = min(adi);
        filenamei = ti(ind).filename;
        [pathstr, name, ext] = fileparts(filenamei);
        name = name(1);
        r = [r name];
    end
    set(handles.text11, 'String', r);

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[v2-751d2cb011315579e4c6d4d34edd4027_b.jpg]: /images/20221120/be3d1a31cf914a25a9401e489e094d00.png
[v2-9537361163202dbc0844a089b930fac4_b.jpg]: /images/20221120/c0e66c64896d49f2b313fda6697faaf7.png