The nature of statistical learning theory
The nature of statistical learning theory
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Biometric identification systems
Signal Processing
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient performance estimate for one-class support vector machine
Pattern Recognition Letters
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Adapted user-dependent multimodal biometric authentication exploiting general information
Pattern Recognition Letters
Fusion strategies in multimodal biometric verification
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Multimodal speaker/speech recognition using lip motion, lip texture and audio
Signal Processing - Special section: Multimodal human-computer interfaces
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
SVMC: single-class classification with support vector machines
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Score normalization in multimodal biometric systems
Pattern Recognition
Combining face and iris biometrics for identity verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Biometrics: a tool for information security
IEEE Transactions on Information Forensics and Security
Structured One-Class Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Performance evaluation of score level fusion in multimodal biometric systems
Pattern Recognition
Fusion of biometric systems using Boolean combination: an application to iris-based authentication
International Journal of Biometrics
A new set of features for a bimodal system based on on-line signature and speech
Digital Signal Processing
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It has been demonstrated in the literature that the combining of different biometric traits is a powerful tool to overcome the limitations imposed by a single biometric system. The fusion of different systems can be approached in different ways. In this work, we consider the pattern classification approach, where the scores of the various systems are used as features to feed the classifiers. More specifically, we are interested in one-class classifiers, and we show that one-class classification could be considered as an alternative to biometric fusion, especially when the data are highly unbalanced or when data from only a single class are available. The results reported for one-class classification on two different databases compares with the standard two-class SVM and surpasses all the conventional classifier combination rules tested.