How is FRR defined in detail?
Due to the statistical nature of the false rejection rate, a large number of verification attempts have to be undertaken to get statistical reliable results. The verification can be successful or unsuccessful. In determining the FRR, only fingerprints from successfully enroled users are considered. The probability for lack of success (FRR(n)) for a certain person is measured: FRR(n) = Number of rejected verification attempts for a qualified person (or feature) n Number of all verification attempts for a qualified person (or feature) n These values are better with more independent attempts per person/feature. The overall FRR for N participants is defined as the average of FRR(n): FRR = 1 N N n=1 FRR(n) The values are more accurate with higher numbers of participants (N). Alternatively, the median value may be calculated. Important: the determined FRR includes both poor picture quality and other rejection reasons such as finger position, rotation, etc.
Due to the statistical nature of the false rejection rate, a large number of verification attempts have to be undertaken to get statistical reliable results. The verification can be successful or unsuccessful. In determining the FRR, only fingerprints from successfully enrolled users are considered. The probability for lack of success (FRR(n)) for a certain person is measured: FRR(n) = Number of rejected verification attempts for a qualified person (or feature) n Number of all verification attempts for a qualified person (or feature) n These values are better with more independent attempts per person/feature. The overall FRR for N participants is defined as the average of FRR(n): FRR = 1 N N n=1 FRR(n) The values are more accurate with higher numbers of participants (N). Alternatively, the median value may be calculated. Important: the determined FRR includes both poor picture quality and other rejection reasons such as finger position, rotation, etc. in the reasons for rejection. In m
