In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

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 …

Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Hyperspectral image (HSI) clustering is a challenging task due to the high complexity of HSI
data. Subspace clustering methods have achieved promising clustering performance in HSI …

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

Incomplete multi-view clustering which aims to solve the difficult clustering challenge on
incomplete multi-view data collected from diverse domains with missing views has drawn …

Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …

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

Palmprint recognition has been widely applied in security and, particularly, authentication. In
the past decade, various palmprint recognition methods have been proposed and achieved …