Classifier ensembles: Select real-world applications
Information Fusion
Combining different biometric traits with one-class classification
Signal Processing
Driving profile modeling and recognition based on soft computing approach
IEEE Transactions on Neural Networks
A comparative evaluation of fusion strategies for multimodal biometric verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Multimodal biometric score fusion using Gaussian mixture model and Monte Carlo method
Journal of Computer Science and Technology
Study of applicability of virtual users in evaluating multimodal biometrics
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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The aim of this paper, regarding multimodal biometric verification, is twofold: on one hand, to compare experimentally a selection of them using as monomodal baseline systems as our template-based face, minutiae-based fingerprint and HMM-based on-line signature verification systems on the MCYT multimodal database. A new strategy is proposed and discussed in order to compute a multimodal combined score by means of support vector machine (SVM) classifiers.