We present results on classification of palmprint patterns from a large number of classes for
biometric verification. We train optimal trade-off correlation filter classifiers with patterns of …

This paper introduces the application of correlation filter classifiers for palmprint
identification and verification. Correlation filter classifiers have been previously applied to …

We propose a palmprint classification algorithm with the use of multiple correlation filters per
class. Correlation filters are two-class classifiers that produce a sharp peak when filtering a …

We present a new series of results that show the competitive performance of advanced
correlation filter classifiers for palmprint recognition. We design multiple correlation filters in …

With the urgent demand in information security, biometric feature-based verification systems
have been extensively explored in many application domains. However, the efficacy of …

Most of the existing techniques for palmprint recognition rely on metrics, typically based on
static functions, which evaluate the distance between a pair of features. In this paper, we …

This paper presents a new personal authentication system that simultaneously exploits 2D
and 3D palmprint features. The objective of our work is to improve accuracy and robustness …

We introduce palmprint recognition, one of the most reliable personal identification methods
in the biometric technology. In this paper, a new approach to the palmprint matching by …

Recently, researchers have been paying an excessive amount of attention to biometric
palmprint which has gained popularity and received significant prominence due to its high …

This paper investigates the performance improvement for palmprint authentication using
multiple classifiers. The proposed methods on personal authentication using palmprints can …