手写数字识别(慕课MOOC人工智能之模式识别)

问题：手写数字识别

数据集

数据集链接请点击我

代码

%mat2vector.m
function [data_]= mat2vector(data,num)
    [row,col,~]= size(data);
    data_=zeros(num,row*col);
    for page =1:num
        for rows =1:row
            for cols=1:col
                data_(page,((rows-1)*col+cols))= im2double(data(rows,cols,page));
            end
        end
    end
end

image = cell(1,10);
for i= 0:9
    filename = sprintf('E:/fig/model/%d.bmp',i);
    image{1,i+1} = mat2vector(imresize(imread(filename),[28,28]),1);
end

correct_num=0;
for index = 0:9
    distance =zeros(1,10);
    fname=sprintf('E:/fig/test/%d.1.bmp',index);
    sample =mat2vector(imresize(imread(fname),[28,28]),1);
    for j= 1:10
        distance(j)=pdist2(sample,image{1,j},'euclidean');
    end
    [m,p]= min(distance);
    if p-1==index
        correct_num=correct_num+1;
    end
    fprintf('数字%d到模板的最小距离为:%d,匹配到的类别为:%d\n',[index,m,p-1]);
end
fprintf('共测试10个样本，正确匹配个数为%d个\n',correct_num);

执行结果

补充（数据集文件夹的注意事项）

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