iris_feature_extraction.rar_gabor extraction_gabor feature_gabor

% 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 function [template, mask] = createiristemplate(eyeimage) close all clc global eyeimage_filename % path for writing diagnostic images global DIAGPATH DIAGPATH = 'D:\iris templates'; %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; 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)); plot (y,x);hold on 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)); plot (yp,xp);hold off ind1 = sub2ind(size(eyeimage),double(yp),double(xp)); % Write noise regions imagewithnoise2(ind2) = 255; figure(3), imshow(imagewithnoise2); imagewithnoise2(ind1) = 255; figure(4), imshow(imagewithnoise2); % 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); figure(500);imshow(template);