Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
Exploiting global and local decisions for multimodal biometrics verification
IEEE Transactions on Signal Processing - Part II
Dynamic registration selection for fingerprint verification
Pattern Recognition
Classifier ensembles: Select real-world applications
Information Fusion
Speaker verification using adapted user-dependent multilevel fusion
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
| Hi-index | 0.01 |
A novel score-level fusion strategy based on Bayesian adaptation for user-dependent multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted for each user based on prior information extracted from a pool of users. Experimental results are reported using on-line signature and fingerprint verification subsystems on the MCYT real bimodal database. The proposed scheme outperforms both user-independent and user-dependent standard approaches. As compared to non-adapted user-dependent fusion, relative improvements of 80% and 55% are obtained for small and large training set sizes, respectively.