Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

The fusion of multisource remote sensing (RS) data has demonstrated significant potential in
target recognition and classification tasks. However, there is limited emphasis on capturing …

Hyperspectral image (HSI) provides rich spectral–spatial information and the light detection
and ranging (LiDAR) data reflect the elevation information, which can be jointly exploited for …

Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …

Biometrics is a powerful tool for identifying and authenticating persons based on their
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …

Face recognition based on deep convolutional neural networks (CNN) shows superior
accuracy performance attributed to the high discriminative features extracted. Yet, the …

Face recognition technology has been widely used due to the convenience it provides.
However, face recognition is vulnerable to spoofing attacks which limits its usage in …

The advances in human face recognition (FR) systems have recorded sublime success for
automatic and secured authentication in diverse domains. Although the traditional methods …

Recognizing a face is a remarkable process that humans naturally use. Computer vision has
tried to resemble this ability of human vision as a biometric tool to identify humans …