For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

Since most classifiers are biased toward the dominant class, class imbalance is a
challenging problem in machine learning. The most popular approaches to solving this …

Abstract At Quesang on the Tibetan Plateau we report a series of hand and foot impressions
that appear to have been intentionally placed on the surface of a unit of soft travertine. The …

It has been argued that human-centred security design needs to accommodate the
considerations of three dimensions:(1) security,(2) usability and (3) accessibility. The latter …

Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …

Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …

One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …