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 …

Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …

Palmprint attracts increasing attention thanks to its several advantages. 1st-order textures
have been widely used for palmprint recognition; unfortunately, high-order textures …

Palmprint recognition provides a potential solution for noninvasive personal authentication
due to its excellent contactless property and user-security, and it has attracted tremendous …

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 …

Palmprint recognition achieves high discrimination for identity verification. Compared with
handcrafted local texture descriptors, convolutional neural networks (CNNs) can …

Palmprint as biometrics has gained increasing attention recently due to its discriminative
ability and robustness. However, existing methods mainly improve palmprint verification …

Palmprint has gained popularity as a biometric modality and has recently attracted
significant research interest. The competition-based method is the prevailing approach for …

The extensive use of mobile devices such as smartphones has made the research of
identification on mobile devices a prominent topic. Palmprint recognition is one of the …

The existing cancellable fingerprint template based on the bloom filter either suffers from a
lack of template security or low recognition performance. To solve the above problems, the …