As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …

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

Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …

The existing palmprint protection schemes without verification degrading do not strictly meet
non-invertible requirement; while non-invertible palmprint protection schemes do not meet …

In this article, we propose a multifeature learning method to jointly learn compact
multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …

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