Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

Biometric recognition systems are finding applications in more and more civilian fields
because they proved to be reliable and accurate. Among the other technologies, ultrasound …

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

This work explores the potential applications of biometric recognition in 3D medical imaging
data. We investigate various 3D imaging techniques commonly used in the medical domain …

Recently, contactless bimodal palmprint recognition technology has attracted increased
attention due to the COVID-19 pandemic. Many dual-camera-based sensors have been …

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

In recent years, multimodal biometric systems are increasingly employed in many
application field due to several advantages in terms of universality, recognition rate. and …

Multimodal biometric systems are often used in a wide variety of applications where high
security is required. Such systems show several merits in terms of universality and …

Biometric recognition systems based on 3D palmprint captured with optical technology have
been widely investigated in the last decade; however, they can provide information about …

Research on palmprint recognition has been progressing toward a contactless and
unconstrained direction, where the imaging quality is easily disturbed by various factors …