Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …

Deep learning-based palmprint recognition algorithms have obtained promising
performance. However, the previous methods require a large amount of labeled samples …

Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …

As an effective method of biometrics, palmprint recognition allows the safe identity
recognition of humans without spatial and temporal limitations. To build a more robust …

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

Palmprint recognition is one of the effective biometric technologies due to the advantages of
convenience and safety. Recently, many deep learning-based methods are utilized in …

Palmprint representations using multiple filters followed by encoding, ie OrdiCode and
SMCC, always achieve promising recognition performance. With the similar architecture but …

Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …

Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …

Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …