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One-class Classification: An Approach to Handle Class Imbalance in Multimodal Biometric Authentication

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Figure

Figure 1.1. The general architecture of a biometric system.
Figure 1.2. Examples of common biometric traits: (a) Fingerprint, (b) Face, (c): Iris, (d)
Table 1.1. Comparison of different biometric traits. H, M and L denote High, Medium and Low,
Figure 1.3. Fusion scenarios in multibiometric systems. Adapted from [11], [12] and [14]
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Outline

Multibiometrics and Multimodal Biometrics The Class Imbalance Problem Density-based Score Fusion Handling the Missing Information One-class Classification Methods Multimodal Fusion via One-class Classifiers Data Scaling Experimental Setup Conclusions Future Work

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