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 …

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 …

The lack of large-scale data seriously hinders the development of palmprint recognition.
Recent approaches address this issue by generating large-scale realistic pseudo palmprints …

As one promising branch of biometrics, palmprint recognition has received significant
attention and made extraordinary progress in the past decades. The crucial step of palmprint …

Efficient deep palmprint recognition has become an urgent issue for the demand of personal
identification on mobile/wearable devices. Compared to other biometrics, palmprint …

In recent years, researchers have carried out palmprint recognition study based on deep
learning, and proposed a variety of methods based on deep learning. In these methods …

Palmprint recognition allows accurate identity verification to build a security system.
Recently, researchers introduce deep learning to this area that largely improves the …

Unconstrained palmprint images have shown great potential for recognition applications
due to their lower restrictions regarding hand poses and backgrounds during contactless …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …