Biometric identification is the study of physiological and behavioral attributes of an individual
to overcome security problems. Finger vein recognition is a biometric technique used to …

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

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

Due to its high anti-counterfeiting and universality, the use of finger-vein pattern for identity
authentication has recently attracted extensive attention in academia and industry. Despite …

Biometrics using finger-veins is a recognition method based on the shape of veins in fingers,
and it has the advantage of difficulty to be forged. However, a shade is inevitably produced …

The texture of finger veins is distributed in a network structure, which can be described as
regional texture feature. In the image preprocessing stage, noise generated by …

Convolutional neural networks have become a popular research in the field of finger vein
recognition because of their powerful image feature representation. However, most …

In this paper, we propose a new local discriminative feature learning method for finger vein
recognition. Unlike most previous finger vein recognition methods, which use hand-crafted …

Convolutional neural networks (CNNs) have been widely used in biometrics due to their
powerful image characterization capabilities. However, for small sample datasets like finger …