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 …

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 …

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 …

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

Nowadays, many efficient palmprint recognition algorithms have emerged. However,
previous algorithms can only be used in a single domain. Furthermore, they also require a …

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

Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …

Recently, excellent palmprint recognition algorithms have emerged and achieved
satisfactory performance. However, cross-domain palmprint recognition is rarely considered …

With the development of IoT and mobile devices, cross-device palmprint recognition is
becoming an emerging research topic in multimedia for its great application potential. Due to …