Biometric Authentication: A Machine Learning Approach

2.2. Design Tradeoffs

To evaluate a biometric system's accuracy, the most commonly adopted metrics are the false rejection rate and the false acceptance rate, which respectively correspond to two other popular metrics: sensitivity and specificity.

1. False rejection rate (FRR), or miss probability, is the percentage of authorized individuals rejected by the system, while sensitivity, also known as true positive rate (TPR), is the percentage that an authorized person is admitted. Therefore,

   

2. False acceptance rate (FAR), also known as false positive rate (FPR) or impostor pass rate, is the percentage that unauthorized individuals are accepted by the ...