An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Comparison of Face Verification Results on the XM2VTS Database
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Multimodal Biometric Authentication Using Quality Signals in Mobile Communications
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
A reduced multivariate polynomial model for multimodal biometrics and classifiers fusion
IEEE Transactions on Circuits and Systems for Video Technology
Reliability-based decision fusion in multimodal biometric verification systems
EURASIP Journal on Applied Signal Processing
A Self-tuning People Identification System from Split Face Components
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Qualitative fusion of normalised scores in multimodal biometrics
Pattern Recognition Letters
A multiexpert collaborative biometric system for people identification
Journal of Visual Languages and Computing
Decision dependability and its application to identity management
Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
Multibiometric People Identification: A Self-tuning Architecture
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A Self-updating Multiexpert System for Face Identification
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Q-stack: uni- and multimodal classifier stacking with quality measures
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Measuring sample distortions in face recognition
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Dynamic linear combination of two-class classifiers
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
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This study investigates a new confidence criterion to improve fusion via a linear combination of scores of several biometric authentication systems. This confidence is based on the margin of making a decision, which answers the question, “after observing the score of a given system, what is the confidence (or risk) associated to that given access?”. In the context of multimodal and intramodal fusion, such information proves valuable because the margin information can determine which of the systems should be given higher weights. Finally, we propose a linear discriminative framework to fuse the margin information with an existing global fusion function. The results of 32 fusion experiments carried out on the XM2VTS multimodal database show that fusion using margin (product of margin and expert opinion) is superior over fusion without the margin information (i.e., the original expert opinion). Furthermore, combining both sources of information increases fusion performance further.