The increasing demand for traveler clearance at international border crossing points (BCPs)
has motivated research for finding more efficient solutions. Automated border control (ABC) …

Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

Touchless fingerprint recognition systems do not require contact of the finger with any
acquisition surface and thus provide an increased level of hygiene, usability, and user …

Human palmprint-based biometric solutions have been studied extensively in both
controlled and uncontrolled environments. However, the majority of existing methods do not …

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

Contactless palmprint recognition, an emerging biometric technology, has attracted
increasing attention due to its noninvasive and high practicability characteristics. Although it …

In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …

With the rapid development of mobile devices, smartphones have gradually become an
indispensable part of people's lives. Meanwhile, biometric authentication has been …

In recent years, several palmprint recognition procedures that use 3-D information on the
palm surface have been proposed in order to overcome some limitations of 2-D palmprint …

Extracting rotation and translation invariant features is a difficult task for palmprint
recognition. Traditional methods have difficulty in dealing with palmprint images degraded …