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

Over the past few decades, hand-based multimodal biometrics systems have achieved
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …

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

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

Linear discriminant analysis (LDA) as a classical supervised dimensionality reduction
method has shown powerful capability in various image classification tasks. The purpose of …

Palmprint direction patterns have been widely and successfully used in palmprint
recognition methods. Most existing direction-based methods utilize the pre-defined filters to …

Contactless palmprint recognition has recently made significant progress in palm-scanning
payment and social security. However, most existing methods are based on handcrafted …

Salient object detection (SOD) aims to determine the most visually attractive objects in an
image. With the development of virtual reality (VR) technology, 360 omnidirectional image …

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 …