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By McCurdy W.H.

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Note that for the exemplary Verification System A in this figure apparently only one single FMR/FNMR was determined, thus is it represented as a point rather than a graph in the ROC diagram. 27 Fundamentals in Biometrics ^^ Verification System D Verification System C Verification System B False Match Rate Verification System A Figure 2-6. Exemplified ROC of four different fingerprint verification systems The third and fourth measures from the previous Table 2-1 are relevant for testing biometric authentication systems on large reference data sets, employing partitioning of templates.

These can be seen as visible or at least measurable physical results, naturally grown as programmed by the genetic construction code. For example, the structure of the ridges on fingertips has proven to be individual and persistent for most human beings. 1 of Chapter 2 in this book. In this chapter, we will focus on IT security and within this domain more precisely the task of user authentication. We will do so by discussing in more detail the later two categories of biometric principles, behavior and physiology.

In this view, identification can be accomplished by a systematic verification between an actual biometric sample to references of all registered users in a biometric system. The result of this process then yields the identity linked to those references showing greatest similarity. Consequently, the process of identification can be modeled as sequences of one-to-all verifications. As the fundamental underlying mechanism is always verification, we abstract from the problem of finding adequate identification in this book and focus our views on verification problems.

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