简单的人脸识别matlab程序

%%%%% Reading of a RGB image

i=imread('face8.jpg');

I=rgb2gray(i);

BW=im2bw(I);

figure,imshow(BW)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%% minimisation of background portion

[n1 n2]=size(BW);

r=floor(n1/10);

c=floor(n2/10);

x1=1;x2=r;

s=r*c;

for i=1:10

y1=1;y2=c;

for j=1:10

if (y2<=c || y2>=9*c) || (x1==1 || x2==r*10)

loc=find(BW(x1:x2, y1:y2)==0);

[o p]=size(loc);

pr=o*100/s;

if pr<=100

BW(x1:x2, y1:y2)=0;

r1=x1;r2=x2;s1=y1;s2=y2;

pr1=0;

end

imshow(BW);

end

y1=y1+c;

y2=y2+c;

end

x1=x1+r;

x2=x2+r;

end

figure,imshow(BW)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%% detection of face object

L = bwlabel(BW,8);

BB = regionprops(L, 'BoundingBox');

BB1=struct2cell(BB);

BB2=cell2mat(BB1);

[s1 s2]=size(BB2);

mx=0;

for k=3:4:s2-1

p=BB2(1,k)*BB2(1,k+1);

if p>mx & (BB2(1,k)/BB2(1,k+1))<1.8

mx=p;

j=k;

end

end

figure,imshow(I);

hold on;

rectangle('Position',[BB2(1,j-2),BB2(1,j-1),BB2(1,j),BB2(1,j+1)],'EdgeColor','r' )