n. in a biometric access control device, the number of incorrect submissions that can be accepted as correct, typically expressed as per cent, e.g. less than 0.0001
(FAR). The probability that a biometric system will incorrectly identify an individual or will fail to detect an imposter. When a system’s FAR is too high, the threshold for the FAR is set too low. The False Accept Rate may be estimated as: FAR = NFA (Number of False Acceptances) / NIIA (Number of Imposter Identification Attempts). The same formula can be expressed as: FAR = NFA/NIVA (Number of imposter verification attempts).
Also known as FAR. Measures how frequently unauthorized persons are accepted by the system due to erroneous matching. Potentially serious. The FAR of BioCert devices is currently about .001%.
The probability that a biometric system will incorrectly identify an individual or will fail to reject an impostor. The rate given normally assumes passive impostor attempts. The False Accept Rate may be estimated as FAR = NFA / NIIA or FAR = NFA / NIVA where FAR is the false acceptance rate NFA is the number of false acceptances NIIA is the number of impostor identification attempts NIVA is the number of impostor verification attempts
The probability that a biometric system will incorrectly identify an individual or will fail to reject an impostor. Also known as the Type II error rate. It is stated as follows: FAR = NFA / NIIA or FAR = NFA / NIVA where FAR is the false acceptance rate NFA is the number of false acceptances NIIA is the number of impostor identification attempts NIVA is the number of impostor verification attempts
The probability that a biometric system will incorrectly identify an individual, or will fail to reject an impostor. For a positive (verification) system, it can be estimated from: (the number of false acceptances)/(the number of impostor verification attempts).
