The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

The basic aim of a biometric identification system is to discriminate automatically between
subjects in a reliable and dependable way, according to a specific-target application …

Multimodal biometrics refers to the exploiting combination of two or more biometric
modalities in an identification of a system. Fingerprint, face, retina, iris, hand geometry, DNA …

Cloud computing represents one of the fastest growing areas of technology and offers a new
computing model for various applications and services. This model is particularly interesting …

The purpose of this paper is to describe a novel fusion algorithm for multi-modal biometric
identification. In this paper we describe the fusion of fingerprints and voice. This combination …

The multimodal biometric which is a combination of two or more modalities of biometric is
able to give more assurance for the securities of some systems. Feature level fusion has …

In the field of multi-modal hand gesture recognition (HGR) systems, the scarcity of
comprehensive datasets poses a significant limitation to the development and evaluation of …

Authentication through the palmprint is a field of biometrics. Palmprint-based personal
verification has quickly entered the biometric family. It has become increasingly popular in …

Multimodal biometric systems integrate the data presented by multiple biometric sources,
hence offering a better performance than the systems based on a single biometric modality …

Since the smartphone is adapted to the ambient intelligence and the smart home systems
are remotely accessed through the smartphones, there is a need for a secure authentication …