Multimodal biometric system using rank-level fusion approach
MM Monwar, ML Gavrilova - IEEE Transactions on Systems …, 2009 - ieeexplore.ieee.org
In many real-world applications, unimodal biometric systems often face significant limitations
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …
Dynamic linear combination of two-class classifiers
In two-class problems, the linear combination of the outputs (scores) of an ensemble of
classifiers is widely used to attain high performance. In this paper we investigate some …
classifiers is widely used to attain high performance. In this paper we investigate some …
Quality controlled multimodal fusion of biometric experts
The quality of biometric samples used by multimodal biometric experts to produce matching
scores has a significant impact on their fusion. We address the problem of quality controlled …
scores has a significant impact on their fusion. We address the problem of quality controlled …
Personalized learning and decision for multimodal biometrics
KA Toh - IEEE Conference on Cybernetics and Intelligent …, 2004 - ieeexplore.ieee.org
In this paper, we address the multi-modal biometric decision fusion problem. By exploring
into the user-specific approach for learning and threshold setting, four possible paradigms …
into the user-specific approach for learning and threshold setting, four possible paradigms …
A novel normalization technique for multimodal biometric systems
A multimodal biometric system consolidates multiple biometric sources and mitigates the
limitations of the unimodal biometric system. The consolidation of information can be done at …
limitations of the unimodal biometric system. The consolidation of information can be done at …
Multimodal biometrics: An overview
Unimodal biometric systems have to contend with a variety of problems such as noisy data,
intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and …
intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and …
Analyzing the benefits of a novel multiagent approach in a multimodal biometrics identification task
MCDC Abreu, M Fairhurst - IEEE Systems Journal, 2009 - ieeexplore.ieee.org
Many approaches to the implementation of biometrics-based identification systems are
possible, and different configurations are likely to generate significantly different operational …
possible, and different configurations are likely to generate significantly different operational …
Fusion in multibiometric identification systems: What about the missing data?
Many large-scale biometric systems operate in the identification mode and include
multimodal information. While biometric fusion is a well-studied problem, most of the fusion …
multimodal information. While biometric fusion is a well-studied problem, most of the fusion …
Reliability and error probability for multimodal biometric system
M Szczepanik, I Jóźwiak - Intelligent Systems in Technical and Medical …, 2014 - Springer
In this paper, the authors compare existing multimodal biometric systems and analyze their
reliability. The main focus is placed on a multi sensorial biometric system which recognizes …
reliability. The main focus is placed on a multi sensorial biometric system which recognizes …