Finger-vein-based biometric recognition technology has recently attracted the attention of
both academia and industry because of its robustness against presentation attacks and the …

The use of human finger-vein traits for the purpose of automatic user recognition has gained
a lot of attention in recent years. Current state-of-the-art techniques can provide relatively …

Finger vein biometrics is becoming an important source of human authentication due to its
advantages in terms of liveness detection, high security, and user convenience. Although …

Finger-vein-based biometric technology has received wide attention and has made some
positive achievements in improving the performance of personal identification. This article …

A novel approach using a convolutional neural network (CNN) for finger-vein biometric
identification is presented in this paper. Unlike existing biometric techniques such as …

Finger-vein biometrics has been extensively investigated for personal verification. Despite
recent advances in finger-vein verification, current solutions completely depend on domain …

This paper aims to provide a brief review of the feature extraction methods applied for finger
vein recognition. The presented study is designed in a systematic way in order to bring light …

As a new biometric technology, finger vein recognition has received much attention in recent
years. Since deep learning is an end-to-end system, and has achieved very good results in …

Finger vein modality has unique advantages, allowing it to play an important role in
biometrics. However, the approach to vein imaging and information acquisition typically …

Finger-vein recognition has the advantages of high immutability, as finger veins are located
under the skin, high user convenience, as a non-invasive and contactless capture device, is …