find eer for verification system

hi

I have adding fuzzy commitment scheme to a biometric verification system (to enhance the system security and user privacy ).

My data set contain 25 person each one have 9 sample , I take first 8 sample for enrollment and the last one for verification .After apply key binding scheme in enrollment ,each person have one hash value . Also after verification each person will have one hash value then compare this two hash to authenticate person or not.

My problem is I want to find FAR , FRR and EER but I am confuse in it.

I write this code to compare and find far ,frr from this equation :

FAR=(Number of accepted impostors attempts)/(Total number of impostor attempts)

FRR=(Number of rejected legitimate attempts)/(Total number of legitimate attempts)

if true
  for prsn=1:tot_persons
  for i=1:tot_persons

       if i~=prsn
          count2=count2+1;
       if  isequal(hased_verf1{prsn},hased_vlu{i}) 
         false_acceptances= false_acceptances+1;
       end
      end
       if i==prsn
          count3=count3+1;
          if( isequal(hased_verf1{i},hased_vlu{i})==0)
           false_rejections=  false_rejections+1;
          end
       end
    end
end

FAR=false_acceptances/count2
FRR=false_rejections/count3

Is this correct?

I found FAR ,FRR for different key size from my code ( have 17 value )

who to find EER and plot like this figure

[SGUNITN]

Please refer to below link.

https://in.mathworks.com/matlabcentral/answers/36380-matlab-functions-for-finding-false-acceptance-rate Or https://www.researchgate.net/project/UNITN-Machine-learning-using-PRTools

I will post the code of EER there.

Answer 1

[AS MOH]

Any help please