Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
Multimodal biometric system using rank-level fusion approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Comparison and combination of iris matchers for reliable personal authentication
Pattern Recognition
A new framework for adaptive multimodal biometrics management
IEEE Transactions on Information Forensics and Security
An adaptive multimodal biometric management algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Localizing Region-Based Active Contours
IEEE Transactions on Image Processing
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This paper investigates a hybrid fusion methodology by incorporating ranks and decisions of a user in a multimodal biometric system using PSO. Each of the biometric modalities is first used to rank the users. The individual ranks are then integrated to get a fused rank for each user. The matching scores associated to the fused ranked users are employed to take accept or reject decisions for each modality. The final decision is made by integrating the two decisions by the individual modalities. The decision thresholds for two modalities and a decision level fusion rule are selected by incorporating PSO. The role of PSO is to adaptively choose the fusion parameters in the varying security needs by minimizing the error rates in the system. The proposed methodology has a particular importance when the scores associated with two modalities are in different domain and their integration on score level need extra complexity of normalization. The experimental results presented in this paper have shown the relevance of the proposed scheme.