A theoretical and experimental analysis of linear combiners for multiple classifier systems
In this paper, a theoretical and experimental analysis of linear combiners for multiple
classifier systems is presented. Although linear combiners are the most frequently used …
classifier systems is presented. Although linear combiners are the most frequently used …
Multiple classifiers in biometrics. part 1: Fundamentals and review
We provide an introduction to Multiple Classifier Systems (MCS) including basic
nomenclature and describing key elements: classifier dependencies, type of classifier …
nomenclature and describing key elements: classifier dependencies, type of classifier …
Multimodal biometrics: state of the art in fusion techniques
The concept of multimodal biometrics is gaining importance to realise reliable, accurate and
robust authentication systems. In multimodal biometrics, information fusion can be done at …
robust authentication systems. In multimodal biometrics, information fusion can be done at …
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
Hidden Markov models (HMMs) have been shown to provide a high level performance for
detecting anomalies in sequences of system calls to the operating system kernel. Using …
detecting anomalies in sequences of system calls to the operating system kernel. Using …
Fingerprint verification by fusion of optical and capacitive sensors
GL Marcialis, F Roli - Pattern Recognition Letters, 2004 - Elsevier
A few works have been presented so far on information fusion for fingerprint verification.
None, however, have explicitly investigated the use of multi-sensor fusion, in other words …
None, however, have explicitly investigated the use of multi-sensor fusion, in other words …
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Hidden Markov models (HMMs) have been successfully applied in many intrusion detection
applications, including anomaly detection from sequences of operating system calls. In …
applications, including anomaly detection from sequences of operating system calls. In …
Multimodal biometric authentication using quality signals in mobile communications
J Bigun, J Fierrez-Aguilar… - … on Image Analysis …, 2003 - ieeexplore.ieee.org
The elements of multimodal authentication along with system models are presented. These
include the machine experts as well as machine supervisors. In particular, fingerprint and …
include the machine experts as well as machine supervisors. In particular, fingerprint and …
Fingerprint image-quality estimation and its application to multialgorithm verification
H Fronthaler, K Kollreider, J Bigun… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
Signal-quality awareness has been found to increase recognition rates and to support
decisions in multisensor environments significantly. Nevertheless, automatic quality …
decisions in multisensor environments significantly. Nevertheless, automatic quality …
Fusion of appearance-based face recognition algorithms
GL Marcialis, F Roli - Pattern Analysis and Applications, 2004 - Springer
Although many algorithms have been proposed, face recognition and verification systems
can guarantee a good level of performances only for controlled environments. In order to …
can guarantee a good level of performances only for controlled environments. In order to …
Perceptual analysis of handwritten signatures for biometric authentication
MC Fairhurst, E Kaplani - IEE Proceedings-Vision, Image and Signal Processing, 2003 - IET
The Internet has stimulated increased activity to address key problems relating to the
implementation of reliable and robust biometric identity checking. Although not always the …
implementation of reliable and robust biometric identity checking. Although not always the …