False Rejection Rate (FRR) is the proportion of times a biometric system fails to grant access to an authorized person. In statistical terms,
The CER describes the point where the FRR and FAR are equal. CER is also known as the equal error rate (EER). The CER describes the overall accuracy of a biometric system. As the sensitivity of a biometric system increases, FRRs will rise and FARs will drop.
The Crossover Error Rate (CER) describes the point where the False Reject Rate (FRR) and False Accept Rate (FAR) are equal. CER is also known as the Equal Error Rate (EER). The Crossover Error Rate describes the overall accuracy of a biometric system.
CER is also known as the equal error rate (EER). The crossover error rate describes the overall accuracy of a biometric system. As the sensitivity of a biometric system increases, FRRs will rise and FARs will drop. Conversely, as the sensitivity is lowered, FRRs will drop and FARs will rise.
If you are using biometric devices, you will want to be sure to test the False Acceptance Rates (FAR), the False Reject Rates (FRR), and the Crossover Error Rates (CER). A biometric device is more accurate and reliable as the CER goes down and you will want to establish acceptable thresholds in your test plan.
The accuracy of biometric systems should be considered before implementing a biometric control program. Three metrics are used to judge biometric accuracy: the False Reject Rate (FRR), the False Accept Rate (FAR), and the Crossover Error Rate (CER).