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Genuine and imposter scores

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Kamel2010

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Hi,

I tried to generate genuine and imposter scores, in purpose to evaluate my iris dual authentication system (Multimodal biometric system). Following is my first trial on coding using Matlab:

Code:
load('optimistic.mat');   
xcut = 0.05:0.05:0.8;    
GAR=100-FRR;             
sigma1 = std(GAR);	  
mu1= mean(GAR);           
pdf1 = normpdf(GAR,mu1,sigma1);  
sigma2 = std(FAR);              
mu2= mean(FAR);               
pdf2 = normpdf(FAR,mu2,sigma2); 
figure(1),plot(xcut,pdf1,'r',xcut,pdf2,'b');grid on;xlabel('Normalised threshold');ylabel('Frequency');legend('Genuines','Impostors');
Well, I obtained insatisfed result (I thought that form curves are gaussian).. see Figure
Thank's in advance .... scores.gif
 

Thank's BradtheRad,
I run my code just once, I have optimistic.mat folder containing vectors FAR, FRR with size 16. it's knowns that GAR=1-FRR, and I calculated mean and std for GAR and FAR .I also used pdf function to estimate probabilities vs normalized hamming distance. I should have this result : see Figureobjective.png
 
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    darel

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