Despite being reliable, palmprints have not received as much attention as other biometrics
such as fingerprints, face or iris. Amount of information provided by high resolution …

Orientation field is the key foundation of palmprint feature extraction and recognition.
However, due to the presence of numerous wide creases, the palmprint orientation field can …

Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

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 …

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

Palmprint is a promising biometric feature for use in access control and forensic
applications. Previous research on palmprint recognition mainly concentrates on low …

Palmprint‐based human authentication has shown great potential for civil, forensic, and
corporate security applications in recent years. Palmprint recognition systems suffer …

In this paper, a palmprint augmentation algorithm based on 3D animation is proposed for
enhancing contactless palmprint recognition performance. Contactless palmprint varies in …

Palmprint recognition has seen significant advancements and garnered considerable
attention recently. However, deep learning methods have yet to effectively incorporate …

Palmprint is a biometric feature with great application potential due to its stability,
uniqueness, hardness in copying, and easy access. In the palmprint recognition, palmprint …