Evaluation of automated biometrics-based identification and verification systems

Recent advancements in computer technology have increased the use of automated biometric-based identification and verification systems. These systems are designed to detect the identity of an individual when it is unknown or to verify the individual's identity when it is provided. These systems typically contain a series of complex technologies that work together to provide the desired results in turn, evaluating these systems is also a complex process. The authors provide a method that may be used to evaluate the performance of automated biometric-based systems. The method is derived from fundamental statistics and is applicable to a variety of systems. Examples are provided to demonstrate the practicality of the method.