MultimodalBiometricSystem/decision_and.m at master · palakanmol31/MultimodalBiometricSystem · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
function decision_and
diary Status_decision_and.txt
pathname1= 'F:\combined\Testing';
%fid= fopen('output.txt','wt');
for e=1:20
    for f=4:5
        pathname=strcat(pathname1,'\Group',num2str(e),'_',num2str(f),'\')
        filename=dir(pathname);
        filename_size=size(filename,1);
        for i=3:filename_size
            [path name ext]=fileparts(filename(i).name);

            if strcmp(ext,'.txt')==1
                if strcmp(name(1),'t')==1
                    p_test=dlmread(strcat(pathname,'\',name,ext)) ;
                elseif strcmp(name(1),'f')==1
                    f_test=dlmread(strcat(pathname,'\',name,ext));
                elseif strcmp(name(1),'s')==1
                    match_mat=dlmread(strcat(pathname,'\',name,ext));
                end
            else
                continue ;
            end

        end
        train_pathname='F:\combined\Training';
        p=0;
        for l=1:20
            for k=1:3
                p=p+1;
                t_path=strcat(train_pathname,'\Group',int2str(l),'_',int2str(k));
                filename=dir(t_path);
                filename_size=size(filename,1);
                for i=3:filename_size
                    [path name ext]=fileparts(filename(i).name);
                    if strcmp(ext,'.txt')==1
                        if strcmp(name(1),'t')==1
                            p_train=dlmread(strcat(t_path,'\',name,ext));
                        elseif strcmp(name(1),'f')==1
                            f_train=dlmread(strcat(t_path,'\',name,ext));
                        end
                    else
                        continue ;
                    end
                end
                finger_score(p)=match_mat(p);

                palmprint_score(p)=p_mat(p_train,p_test);


            end
        end
        j=1;
        for i=1:20
            p_score(i)=(palmprint_score(j)+palmprint_score(j+1)+palmprint_score(j+2))/3 ;
            f_score(i)=(finger_score(j)+finger_score(j+1)+finger_score(j+2))/3 ;

            j=j+3;
        end


        [p_1 p_user]=max(p_score)
        if p_user==e
            s0=1;
        else
            s0=0;
        end
        [f_1 f_user]=max(f_score)
        if f_user==e
            s1=1;
        else
            s1=0;
        end
        rule_and=s0&&s1;
        if (rule_and)
            display('Genuine')
        else
            display('Imposter')
        end
        %rule_or=s0||s1;
    end
end
diary off
end