Principal component analysis (PCA) is often applied for analyzing data in the most diverse
areas. This work reports, in an accessible and integrated manner, several theoretical and …

Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

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 has been investigated over 10 years. During this period, many
different problems related to palmprint recognition have been addressed. This paper …

Palmprint-based personal identification, as a new member in the biometrics family, has
become an active research topic in recent years. Although great progress has been made …

In this paper, we propose a novel robust line orientation code for palmprint verification,
whose performance is improved by using three strategies. Firstly, a modified finite Radon …

Where possible, automation has been a common response of humankind to many activities
that have to be repeated numerous times. The routine identification of specimens of …

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 …