Several papers have already shown the interest of using multiple classifiers in order to
enhance the performance of biometric person authentication systems. In this paper, we …

Chimeric users have recently been proposed in the field of biometric person authentication
as a way to overcome the problem of lack of real multimodal biometric databases as well as …

We present three new voting schemes for multi-classifier biometric authentication using a
reliability model to influence the importance of each base classifier's vote. The reliability …

The problem of combining biometric matchers for person verification can be viewed as a
pattern classification problem, and any trainable pattern classification algorithm can be used …

Verifying a person's identity claim by combining multiple biometric systems (fusion) is a
promising solution to identity theft and automatic access control. This thesis contributes to …

These proceedings are a record of the Multiple Classi? er Systems Workshop, MCS 2007,
held at the Institute of Information Theory and Automation, Czech Academy of Sciences …

Biometric authentication is a process of verifying an identity claim using a person's
behavioural and physiological characteristics. Due to the vulnerability of the system to …

Multi-matcher systems based on ensembles of classifiers are presented. We performed an
empirical comparison of ensemble methods. The obtained results are very encouraging, our …

This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …

The emerging requirements of reliable and highly accurate personal identification in a
number of government and commercial applications (eg, international border crossings …