Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
Error analysis of pattern recognition systems: the subsets bootstrap
Computer Vision and Image Understanding
Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal identity verification by serial fusion of fingerprint and face matchers
Pattern Recognition
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
PSO versus AdaBoost for feature selection in multimodal biometrics
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
The BANCA database and evaluation protocol
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Can chimeric persons be used in multimodal biometric authentication experiments?
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
A generic protocol for multibiometric systems evaluation on virtual and real subjects
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Hi-index | 0.01 |
We address the problem of measuring the dependency of multibiometric systems' scores, using Kolmogorov-Smirnov and Mutual Information criteria, and studying the validity of performance evaluation on chimeric persons. On the NIST-BSSR1 database, we formalize a common assumption in the literature: for independent scores, multibiometric systems can be evaluated on ''random chimeric'' persons. We show that this is not valid for dependent scores and propose a novel protocol for building ''cluster-based chimeric'' persons maintaining the level of dependency between scores. Finally, we show that performance evaluation for dependent modalities on such persons is equivalent to that obtained on ''real'' persons.