

Performance Evaluation
For each database and for each algorithm:
 Each sample in the subset A is matched against the remaining samples of the
same finger to compute the False Non Match Rate
FNMR (also referred as False Rejection Rate  FRR). If the
matching g against h is performed, the symmetric one (i.e.,
h against g) is not executed to avoid correlation. The total
number of genuine tests (in case no enrollment rejections occur) is:
((8*7) /2) * 100 = 2,800
 The first sample of each finger in the subset A is matched against the first
sample of the remaining fingers in A to compute the False Match Rate FMR (also referred as False Acceptance Rate  FAR).
If the matching g against h is performed, the symmetric one (i.e., h against g)
is not executed to avoid correlation. The total number of false acceptance tests (in case no enrollment rejections occur)
is:
((100*99) /2) = 4,950
For each algorithm and for each database, the following performance indicators are reported:
 REJ_{ENROLL} (Number of rejected fingerprints during enrollment)
 REJ_{NGRA} (Number of rejected fingerprints during genuine matches)
 REJ_{NIRA} (Number of rejected fingerprints during impostor matches)
 Impostors and Genuines distributions
 FMR(t)/FNMR(t) curves
 ROC(t) curve
 EER (equalerrorrate)
 EER^{*} (the value that EER would take if the matching failures were excluded from the computation of FMR and FNMR)
 FMR100 (the lowest FNMR for FMR<=1%)
 FMR1000 (the lowest FNMR for FMR<=0.1%)
 ZeroFMR (the lowest FNMR for FMR=0%)
 ZeroFNMR (the lowest FMR for FNMR=0%)
 Average enrollment time
 Average matching time
The following average performance indicators are reported over the four databases:
 Average EER
 Average FMR100
 Average FMR1000
 Average ZeroFMR
 Average REJ_{ENROLL} (Average number of rejected fingerprints during enrollment)
 Average REJ_{MATCH} (Average number of rejected fingerprints during genuine and impostor matches)
 Average enrollment time
 Average matching time

