Encyclopedia of Biometrics, Second Edition, Li S.Z., Jain A.K., 2015

Encyclopedia of Biometrics, Second Edition, Li S.Z., Jain A.K., 2015.
    
   The Encyclopedia of Biometrics provides a comprehensive reference to concepts, definitions, technologies, challenges, and trends in the field of biometrics. The volume covers all important aspects in biometrics research, development, and applications, including sensors and devices, methods and algorithms, sample quality, system design and implementation, databases, performance testing, security, antispoofing, and standards. The second edition consists of over 250 in-depth articles contributed by about 300 leading biometric experts around the world.




Evaluation of Recognition Systems Under Spoofing Attacks.
The usual way to simplify the ternary classification problem that the biometric recognition systems are confronted with when spoofing attacks are present is to decompose it into two binary classification problems. The first one considers only genuine users and zero-effort impostors, while the second considers only genuine users and spoofing attacks. The system is then evaluated in two modes of operations, or scenarios, which are associated with the two binary classification problems. To formalize the terminology, we will call them licit and spoof evaluation scenarios, respectively.

The two evaluation scenarios are associated with different error measurements. While in the case of the licit scenario, the usual reported error rates are again FAR and FRR: for the spoof scenario. FAR is replaced by Spoof False Acceptance Rate (SFAR) |9], which is associated with the ratio of spoofing attacks accepted by the system. Furthermore, several error measurements to summarize the error rates in the two scenarios have been established.



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Теги: энциклопедия по биологии :: биология :: Li :: Jain :: биометрия