… FPBS system uses uni biometrics and multi biometrics for security and recognition accuracy
in … Nowadays multi biometrics system known as fused system is intensively used in person …

… The fusion of biometrics modalities on different levels of multi-biometrics system is extensively
studied in the literature ( Table 3 ). For all that the merger at the level of feature vectors is …

We provide an introduction to Multiple Classifier Systems (MCS) including basic
nomenclature and describing key elements: classifier dependencies, type of classifier outputs, …

… In this paper, we present a multibiometric system based on two different biometric modalities,
… Existing multibiometric systems are not sufficiently fast for practical applications. Indexing …

… The term multibiometrics has often been used to connote biometric fusion in the literature
[10]. In order to develop a multibiometric system, one must consider the following three …

The present paper is Part 2 in this series of two papers. In Part 1 we provided an introduction
to Multiple Classifier Systems (MCS) with a focus into the fundamentals: basic nomenclature…

The main aim of this paper is to provide multilevel authentication in biometric systems.
Multimodal biometric is the usage of multiple biometric indicators by personal identification …

Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …

… It is clear that multibiometric or, in general, biometric systems can provide plenty of
benefits to Industry 4.0 that are not to be overlooked. An integrated multibiometric system that …

… In the field of multi-biometrics, a great number of studies of feature level fusion, matching
score level fusion and decision level fusion have been made. Though fusion of multi-biometrics …