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 …

Multibiometric systems fuse information from different sources to compensate for the
limitations in performance of individual matchers. We propose a framework for optimal …

Broad classes of statistical classification algorithms have been developed and applied
successfully to a wide range of real-world domains. In general, ensuring that the particular …

Multimodal biometric authentication method can conquer the defects of the unimodal
biometric authentication technology. In this paper, we design and develop an efficient …

In many real-world applications, unimodal biometric systems often face significant limitations
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …

In this paper, we address the security of multimodal biometric systems when one of the
modes is successfully spoofed. We propose two novel fusion schemes that can increase the …

A new multimodal biometric database, acquired in the framework of the BiosecurID project,
is presented together with the description of the acquisition setup and protocol. The …

A multimodal biometric system integrates information from multiple biometric sources to
compensate for the limitations in performance of each individual biometric system. We …

The use of m-learning or other remote education continue to increase due to its ability to
reach people who don't have access to campus. Exams are important components of …

Dr. Babasaheb Ambedkar Marathwada University Abstract-This article is an overview of a
current multimodal biometrics research based on fingerprint and palm-print. It explains the …