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Crossover Error Rate (CER)

Crossover Error Rate (CER): In biometrics, the Crossover Error Rate (CER) is a critical performance metric that represents the point at which the False Acceptance Rate (FAR), the measure of the likelihood that the system incorrectly grants access to an unauthorized user, equals the False Rejection Rate (FRR), the measure of the likelihood of the system incorrectly denying access to an authorized user. The CER is used to compare the accuracy of biometric systems; the lower the CER, the higher the system’s accuracy. It provides a balanced benchmark by showing how the tradeoff between security and convenience is managed by the system. A system with a high CER might be more user-friendly but less secure, and vice versa.

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