The rapid development of remote sensing technology allows us to get images with high and
very high resolution (VHR). VHR imagery scene classification has become an important and …

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 …

Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

In recent years, the advances in data collection and statistical analysis promotes canonical
correlation analysis (CCA) available for more advanced research. CCA is the main …

Compared to uni-biometric systems, multi-biometric systems, which fuse multiple biometric
features, can improve recognition accuracy and security. However, due to the challenging …

Compared with single biometric recognition, multimodal biometric recognition based on
fingerprint and finger vein has been widely considered because of its convenient sample …

The design of fusion engines is a subject of great importance in a variety of fields. In this
paper, we focus on the problem of linear fusion at the feature level for multiple signal …

Finger-vein recognition, which is one of the conventional biometrics, hinders fake attacks, is
cheaper, and it features a higher level of user-convenience than other biometrics because it …

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