Well, I am not sure if this what you are looking for. In general, the performance of any biometric system (e.g fingerprint, voice, facial recognition, etc) is described using several metrics.

FAR or False Acceptance rate is the probability that the system incorrectly authorizes a non-authorized person, due to incorrectly matching the biometric input with a template. The FAR is normally expressed as a percentage, following the FAR definition this is the percentage of invalid inputs which are incorrectly accepted.

FRR or False Rejection Rate is the probability that the system incorrectly rejects access to an authorized person, due to failing to match the biometric input with a template. The FRR is normally expressed as a percentage, following the FRR definition this is the percentage of valid inputs which are incorrectly rejected.

CER or Crossover Error Rate is the rate where both accept and reject error rates are equal.

FER The Failure to Enroll Rate (FER) is the percentage of the population which fails to complete enrollment.

EXAMPLE:

let us assume we have a fingerprint biometric system. We also, have 100 users. During the enrollment stage 5 users where not able to enroll (e.g we can not establish a fingerprint signature/template for them). This mean the system has a Failure to Enroll Rate (FER) = 5%. This mean only 95 users can use the system.

Then, during the testing out of the 95 users, 10 users were rejected when the system match their fingerprint against their enrollment fingerprint template. This mean the FRR =10.52%.

Also, 3 users out of the 95 users were accepted by the system when the system match their fingerprint against other users fingerprint template. This mean the FAR = 3.15%

The lower FAR and FRR , the better the system

Well, I am not sure if this what you are looking for. In general, the performance of any biometric system (e.g fingerprint, voice, facial recognition, etc) is described using several metrics.

FAR or False Acceptance rate is the probability that the system incorrectly authorizes a non-authorized person, due to incorrectly matching the biometric input with a template. The FAR is normally expressed as a percentage, following the FAR definition this is the percentage of invalid inputs which are incorrectly accepted.

FRR or False Rejection Rate is the probability that the system incorrectly rejects access to an authorized person, due to failing to match the biometric input with a template. The FRR is normally expressed as a percentage, following the FRR definition this is the percentage of valid inputs which are incorrectly rejected.

CER or Crossover Error Rate is the rate where both accept and reject error rates are equal.

FER The Failure to Enroll Rate (FER) is the percentage of the population which fails to complete enrollment.

EXAMPLE:

let us assume we have a fingerprint biometric system. We also, have 100 users. During the enrollment stage 5 users where not able to enroll (e.g we can not establish a fingerprint signature/template for them). This means the system has a Failure to Enroll Rate (FER) = 5%. This means only 95 users can use the system.

Then, during the testing out of the 95 users, 10 users were rejected when the system match their fingerprint against their enrollment fingerprint template. This means the FRR =10.52%.

Also, 3 users out of the 95 users were accepted by the system when the system match their fingerprint against other users fingerprint template. This means the FAR = 3.15%

The lower FAR and FRR , the better the system