As a new research focus in biometrics, palm vein recognition has attracted people's attention
because of high security, liveness‐detection, user acceptability and convenience. Palm vein …

Despite recent advances of deep neural networks in hand vein identification, the existing
solutions assume the availability of a large and rich set of training image samples. These …

The development of information technology has made it possible to replace traditional keys
and passwords with biometric recognition. Among the various human recognition …

The recent progress in deep learning has led to a rapid change in the way biometric data
can be handled, offering new opportunities for further research on physical, behavioral, and …

Recently, as one of the most promising biometric traits, the vein has attracted the attention of
both academia and industry because of its living body identification and the convenience of …

Palm vein recognition is a high-security biometric. Outside the NIR capture box and
contactless palm vein recognition are more popular but challenging. The users feel …

Vein patterns have been nowadays established as a reliable and convenient solution to
implement biometric recognition systems. Yet, there is still a relevant gap between the real …

Downsampling is critical for coding‐based methods to reduce storage and accelerate
matching speed. In coding‐based palmprint recognition methods, the image size of the …

Human recognition and authentication through biometrics generally rely on feature
extraction from images of physiological traits. These images can be represented in different …

In this research, biometric authentication, which has been widely used for different purposes
in the last quarter-century, is studied. Dorsal hand veins are used for biometric …