Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

Automatic identity verification is one of the most critical and research‐demanding areas. One
of the most effective and reliable identity verification methods is using unique human …

Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

Palmprint biometrics is a promising modality that enables efficient human identification, also
in a mobile scenario. In this paper, a novel approach to feature extraction for palmprint …

Human activity recognition is one of the most challenging and active areas of research in the
computer vision domain. However, designing automatic systems that are robust to significant …

La multi-biométrie, ou la fusion de plus d'une modalité, d'un échantillon, d'un capteur ou
d'un algorithme biométrique, gagne rapidement en popularité en tant que méthode …

In this paper, we investigate an efficient palmprint texture modeling method that incorporates
a robust analysis based on fusing multiple information. In fact, a single descriptor alone may …

Palm-print recognition system is extensively deployed in a variety of applications, ranging
from forensic to mobile phones. This paper proposes a new feature extraction technique for …