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 …

As a new research focus in biometrics, palm vein recognition has attracted people's attention
because of high security, liveness‐detection, user acceptability and convenience. Palm vein …

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

Due to the benefits of palmprint recognition and the advantages of biometric fusion systems,
it is necessary to study multi-source palmprint fusion systems. Unfortunately, the research on …

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 …

This paper presents two new approaches to improve the performance of palm-vein-based
identification systems presented in the literature. The proposed approach attempts to more …

Many palmprint authentication approaches have been proposed in recent years. Among
them, the orientation based coding approach, in which the dominant orientation features of …

Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …

In this paper, we propose a new finger biometric method. Infrared finger images are first
captured, and then feature extraction is performed using a modified Gaussian high-pass …

Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …