Most biometric authentication algorithms make use of a similarity score that defines how
similar two templates are according to a threshold and the accuracy of the results are …

Evaluating biometric authentication performance is a complex task because the
performance depends on the user set size, composition and the choice of samples. We …

Biometric authentication performance is often depicted by a detection error trade-off (DET)
curve. We show that this curve is dependent on the choice of samples available, the …

Authentication systems based on biometric features (eg, fingerprint impressions, iris scans,
human face images, etc.) are increasingly gaining widespread use and popularity. Often …

A biometric system is an instance of a pattern recognition system with well-defined error
conditions, which allows objective statistical error analysis. Biometrics is an emerging …

Before a biometrics system is implied, we evaluated its performance by testing data. While a
test dataset, instead of the universal dataset, is used, the performance indices cannot be …

In this paper, we propose parametric correlation models for the assessment of biometric
classification error rates. Correctly specified correlations are integral to variance estimation …

Currently biometric system performance is evaluated in terms of its FAR and FRR. The
accuracy expressed in such a manner depends on the characteristics of the dataset on …

Figure 1.2 shows a schematic of how the biometric authentication process works in practice,
using the sensor (ngerprint reader) in a mobile phone. Because of the decision-theoretic …

In recent years, the protection of biometric data has gained increased interest from the
scientific community. Methods such as the fuzzy commitment scheme, helper-data system …