MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
Performance of Biometric Quality Measures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quality based rank-level fusion in multibiometric systems
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Score normalization in multimodal biometric systems
Pattern Recognition
Serial fusion of fingerprint and face matchers
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
On the dynamic selection of biometric fusion algorithms
IEEE Transactions on Information Forensics and Security
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Several works in the recent literature on biometrics demonstrate the efficiency of the multimodal fusion to enhance performance and reliability of the automatic recognition. In this paper, we experimentally compare the behavior of different rules for integrating different biometric identification systems. We investigated how the benefits of the fusion change by varying the set of the fused modalities, the adopted fusion scheme and the performance of the individual matchers. The experiments were carried out on two multimodal databases, using face and fingerprint. We considered trained and fixed fusion methods at score, rank and decision level.