From: wilson on
Thanks now i understand it!
www.cl.cam.ac.uk/users/jgd1000/iriscode.gif
If i wanna do like the above link i need to use hough transform method?
or str8 away used neural network to do this? How to do the iris code on top of the left corner? How am i manage to do that?
From: ImageAnalyst on
On Dec 4, 11:01 pm, "wilson " <wilson_silver3...(a)hotmail.com> wrote:
> Thanks now i understand it!www.cl.cam.ac.uk/users/jgd1000/iriscode.gif
> If i wanna do like the above link i need to use hough transform method?
> or str8 away used neural network to do this? How to do the iris code on top of the left corner? How am i manage to do that?
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Yes, I would look into the hough transform.
From: wilson on
ImageAnalyst <imageanalyst(a)mailinator.com> wrote in message <a0ed957f-04e4-4792-bb1c-715f41b4d3f5(a)o33g2000vbu.googlegroups.com>...
> On Dec 4, 11:01?pm, "wilson " <wilson_silver3...(a)hotmail.com> wrote:
> > Thanks now i understand it!www.cl.cam.ac.uk/users/jgd1000/iriscode.gif
ok if i use hough transform how am i do the iris code like above the left corner!
From: ImageAnalyst on
On Dec 5, 10:05 am, "wilson " <wilson_silver3...(a)hotmail.com> wrote:
> ok if i use hough transform how am i do the iris code like above the left corner!

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I don't know, but I'm sure you can experiment around with it just as
I'd have to.

From: wilson on
get image get from :
http://images.google.co.uk/imgres?imgurl=http://salmaworld.files.wordpress.com/2009/09/beautiful-face-wallpapers_11213_1280x1024.jpg&imgrefurl=http://www.mathworks.co.uk/matlabcentral/newsreader/search_results%3Fsearch_string%3Drgb2gray%26view%3Dtext&usg=__MNo8LkQe-DN9sfH4e5E7n5evko0=&h=1024&w=1280&sz=181&hl=en&start=74&itbs=1&tbnid=Drqc8jryXDj1gM:&tbnh=120&tbnw=150&prev=/images%3Fq%3Dface%26gbv%3D2%26ndsp%3D18%26hl%3Den%26sa%3DN%26start%3D72
I direct crop out the eyes
eyes = double(imread('eye234.jpg'))/255;
figure; imagesc(eyes);
axis equal tight off;
colormap gray;
title('eyes');

szImg1 = size(eyes);
rad1ct = 600; % radii to be searched (in pixels)
gradthr = 0.15;
%opt = 'prop';
[haa1ct,grad] = cht(eyes,rad1ct,gradthr);
figure; imagesc(grad); axis equal tight off; colormap gray;
title('Edge strengths from Sobel filtering');
figure; imagesc(haa1ct); axis equal tight off; colormap gray;
title('Circle Hough transform with a radius of 600 pixels (proportional)');

its appear error on that [haa1ct,grad] = cht(eyes,rad1ct,gradthr);