One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …

Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

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 …

In this paper, we address the problem of designing efficient fusion schemes of
complementary biometric modalities such as face and palmprint, which are effectively coded …

Feature selection (FS) determines the beneficial features in data and decreases the
disadvantages of the curse of dimensionality. This work proposes a novel adaptive memetic …

Distance metric is widely used in similarity estimation which plays a key role in fingerprint
recognition. In this work we propose the detailed comparison of 29 distinct distance metrics …

Human ear recognition is a new biometric technology which competes with other powerful
biometrics modalities such as fingerprint, face and iris. Ear has small size, a uniform …

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 …

Biometric information is widely used in user identification systems. Iris is one of the most
reliable and accurate biometric information. In an iris recognition system, the iris localisation …

In recent years, the hand-based biometric system has received significant attention in
identifying a person. In the hand-based biometric, the finger knuckle print plays a vital role in …