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This paper presents a test bed, called the Bio-secure DS2 score-and-quality database, for evaluating, comparing and benchmarking score-level fusion algorithms for multimodal biometric authentication. It is designed to benchmark quality-dependent, client-specific, cost-sensitive fusion algorithms. A quality-dependent fusion algorithm is one which attempts to devise a fusion strategy that is dependent on the biometric sample quality. A client-specific fusion algorithm, on the other hand, exploits the specific score characteristics of each enrolled user in order to customize the fusion strategy.
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