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

Accuracy and efficiency are essential topics in the current biometric feature recognition and
security research. This paper proposes a deep neural network using bidirectional feature …

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 identification, a biometric technology that uses vein patterns in the human finger
to identify people. In recent years, it has received increasing attention due to its tremendous …

Even though the deep neural networks have strong feature representation capability and
high recognition accuracy in finger vein recognition, the deep models are computationally …

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 …

Most of the recent researches have determined that finger-vein identification systems have
begun to change their direction from hand-crafted feature extraction to automatic feature …

Biometric Authentication Technology has been widely used in this information age. As one
of the most important technology of authentication, finger vein recognition attracts our …

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

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 …