In the past years, deep neural networks (DNN) have become popular in many disciplines
such as computer vision (CV), natural language processing (NLP), etc. The evolution of …

Biometrics have been used to identify humans since the 19th century. Over time, these
biometrics became 3D. The main reason for this was the growing need for more features in …

Recent advances in noninvasive portable and wearable biosensors have attracted
significant attention due to their capability to offer continual physiological information for …

Finger vein biometrics have gained a lot of attention in recent years because they offer the
perfect balance of security and economic viability, with advantages such as being the least …

This paper proposes SE-DenseNet-HP, a novel finger vein recognition model that integrates
DenseNet with a squeeze-and-excitation (SE)-based channel attention mechanism and a …

Finger vein recognition is an emerging biometric recognition technology. Different from the
other biometric features on the body surface, the venous vascular tissue of the fingers is …

Convolutional neural networks are a hot research topic in finger vein recognition. However,
most existing research focuses on increasing the depth and width of the convolutional …

Personal identification using analysis of the internal and external characteristics of the
human finger is currently an intensively developed topic. The work in this field concerns new …

In the field of biometric recognition, finger vein recognition has received widespread
attention by virtue of its advantages, such as biopsy, which is not easy to be stolen …

Finger vein recognition is considered to be a very promising biometric identification
technology due to its excellent recognition performance. However, in the real world, the …