abb. false rejection rate
The probability that a biometric system will fail to identify an enrollee, or verify the legitimate claimed identity of an enrollee. The False Rejection Rate may be estimated as follows: FRR = NFR / NEIA or FRR = NFR / NEVA where FRR is the false rejection rate NFR is the number of false rejections NEIA is the number of enrollee identification attempts NEVA is the number of enrollee verification attempts This estimate assumes that the enrollee identification/verification attempts are representative of those for the whole population of end-users. The False Rejection Rate normally excludes Failure to Acquire errors.
The probability that a biometric system will fail to identify an enrolee, or verify the legitimate claimed identity of an enrolee. Also known as a Type I error rate. It is stated as follows: FRR = NFR / NEIA or FRR = NFR / NEVA where FRR is the false rejection rate NFR is the number of false rejections NEIA is the number of enrolee identification attempts NEVA is the number of enrolee verification attempts
First Read Rate. See First Read Rate
first read rate. the percentage of successful scans per 100 attempts. The FRR is used to determine the user friendliness of the wand scanner to the bar code symbol.
False Rejection Rate The probability that a Biometric system will fail to identify an enrolled individual.
first read rate. The ratio of the number of successful reads on the first scanning attempt to the number of attempts. Commonly expressed as a percentage.
First read rate. Percentage representing the number of successful reads per 100 attempts for a particular symbol; used as an approximation of "human friendliness" of the bar code reader and symbol to the operational environment. full ASCII An operating mode that sets the reader to properly decode Code 39 or Code 93 labels containing data that may include any of the 128 ASCII characters. full duplex A data communication term pertaining to a simultaneous two-way independent transmission. See also half duplex.
The probability that a biometric system will fail to identify a genuine enrollee. For a positive (verification) system, it can be estimated from: (the number of false rejects)/(the number of enrollee verification attempts).