How to run Libor Masek code(createiristemplate)?
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% createiristemplate - generates a biometric template from an iris in % an eye image. % % Usage: % [template, mask] = createiristemplate(eyeimage_filename) % % Arguments: % eyeimage_filename - the file name of the eye image % % Output: % template - the binary iris biometric template % mask - the binary iris noise mask % % Author: % Libor Masek % masekl01@csse.uwa.edu.au % School of Computer Science & Software Engineering % The University of Western Australia % November 2003
function [template, mask] = createiristemplate(eyeimage_filename)
% path for writing diagnostic images global DIAGPATH DIAGPATH = 'diagnostics';
%normalisation parameters radial_res = 20; angular_res = 240; % with these settings a 9600 bit iris template is % created
%feature encoding parameters nscales=1; minWaveLength=18; mult=1; % not applicable if using nscales = 1 sigmaOnf=0.5;
eyeimage = imread(eyeimage_filename);
savefile = [eyeimage_filename,'-houghpara.mat']; [stat,mess]=fileattrib(savefile);
if stat == 1 % if this file has been processed before % then load the circle parameters and % noise information for that file. load(savefile);
else
% if this file has not been processed before
% then perform automatic segmentation and
% save the results to a file
[circleiris circlepupil imagewithnoise] = segmentiris(eyeimage);
save(savefile,'circleiris','circlepupil','imagewithnoise');
end
% WRITE NOISE IMAGE %
imagewithnoise2 = uint8(imagewithnoise); imagewithcircles = uint8(eyeimage);
%get pixel coords for circle around iris [x,y] = circlecoords([circleiris(2),circleiris(1)],circleiris(3),size(eyeimage)); ind2 = sub2ind(size(eyeimage),double(y),double(x));
%get pixel coords for circle around pupil [xp,yp] = circlecoords([circlepupil(2),circlepupil(1)],circlepupil(3),size(eyeimage)); ind1 = sub2ind(size(eyeimage),double(yp),double(xp));
% Write noise regions imagewithnoise2(ind2) = 255; imagewithnoise2(ind1) = 255; % Write circles overlayed imagewithcircles(ind2) = 255; imagewithcircles(ind1) = 255; w = cd; cd(DIAGPATH); imwrite(imagewithnoise2,[eyeimage_filename,'-noise.jpg'],'jpg'); imwrite(imagewithcircles,[eyeimage_filename,'-segmented.jpg'],'jpg'); cd(w);
% perform normalisation
[polar_array noise_array] = normaliseiris(imagewithnoise, circleiris(2),... circleiris(1), circleiris(3), circlepupil(2), circlepupil(1), circlepupil(3),eyeimage_filename, radial_res, angular_res);
% WRITE NORMALISED PATTERN, AND NOISE PATTERN w = cd; cd(DIAGPATH); imwrite(polar_array,[eyeimage_filename,'-polar.jpg'],'jpg'); imwrite(noise_array,[eyeimage_filename,'-polarnoise.jpg'],'jpg'); cd(w);
% perform feature encoding [template mask] = encode(polar_array, noise_array, nscales, minWaveLength, mult, sigmaOnf);
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Respuestas (2)
Sadia sultana turna
el 26 de Nov. de 2013
Editada: Sadia sultana turna
el 26 de Nov. de 2013
i don't have clear idea about the parameters. i am still looking for proper explanation.
but if u are concerned about running 'createiristemplate' , make sure u have some other function files and the image to be processed in the same matlab directory.
other files i had in my directory were:
addcircle adjgamma canny circlecords createiristemplate encode findcircle findline gaborconvolve gethammingdistance houghcircle hysthresh linecords nonmaxup normaliseiris segmentiris shiftbits
presence of all these eased processing of a '.bmp' format image and creating an iris template. why is that, well i am working on that. let me know if u get to know about explanation of stages of 'createiristemplate' ... :)
2 comentarios
Ammar Malik
el 29 de Nov. de 2013
Umme Tania I was also having the same problem but found out that actually the image I was using was not a 2D image. So, first you have to convert your image to grayscale 2D image using rgb2gray command. After this your problem will be solved insha-ALLAH :)
Ammar Malik
el 29 de Nov. de 2013
Umme Tania I was also having the same problem but found out that actually the image I was using was not a 2D image. So, first you have to convert your image to grayscale 2D image using rgb2gray command. After this your problem will be solved insha-ALLAH :)
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