As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

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 …

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 …

The extensive use of mobile devices such as smartphones has made the research of
identification on mobile devices a prominent topic. Palmprint recognition is one of the …

Palmprint recognition system is a biometric technology, which is promising to have a high
precision. This system has started to attract the attention of researchers, especially with the …

As a discriminative biometric modality, palmprint accommodates two attributes of soft
biometrics, namely chirality and gender. Our study reveals that the false matching of a pair of …

Palmprint identification aims to establish the identity of a given query sample by comparing it
with all the templates in the database and locating the most similar one. It becomes …

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

The presented paper proposes an algorithm for palmprint recognition using seven different
machine learning algorithms. First of all, we have proposed a region of interest (ROI) …

Palmprint recognition has gained considerable attention in recent years, accompanied by
significant progress. However, large-scale palmprint recognition, which holds great potential …