Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

With the dramatic increase in the amount of multimedia data, cross-modal similarity retrieval
has become one of the most popular yet challenging problems. Hashing offers a promising …

Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …

Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …

Multimodal biometrics recognition has recently attracted much interest for its higher security
and effectiveness compared with unimodal biometrics recognition. However, most of the …

Due to its high anti-counterfeiting and universality, the use of finger-vein pattern for identity
authentication has recently attracted extensive attention in academia and industry. Despite …

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 …

In this article, we propose a collaborative palmprint-specific binary feature learning method
and a compact network consisting of a single convolution layer for efficient palmprint feature …

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 …