Finger knuckle print (FKP) as a physiological trait with a small image dimension, also a
highly distinctive pattern, can be used as a reliable biometric identifier. In this paper, a new …

Biometric methods are among the safest and most secure solutions for identity recognition
and verification. One of the biometric features with sufficient uniqueness for identity …

In Finger-Knuckle-Print (FKP) recognition, feature extraction plays a very important role in
the overall system performance. This paper merges two types of the histograms of oriented …

Biometrics-based authentication is an effective approach which is used for automatically
recognizing a person's identity. Recently, it has been found that the finger-knuckle-print …

This paper makes use of finger knuckleprints to propose an efficient biometrics system. Edge
based local binary pattern (ELBP) is used to enhance the knuckleprint images. Highly …

Presented is a new approach to person verification using fingerknuckle-prints (FKPs). It
applies a Gabor filter to enhance the FKP information and a scale invariant feature transform …

Local Binary Pattern (LBP) has been widely used for analyzing local texture features of an
image. Several new extensions of LBP based texture descriptors have been proposed …

Traditional feature extraction methods, such as Gabor filter and competitive coding, have
been widely used in finger-knuckle-print (FKP) recognition. However, these methods focus …

One of the newest biometric identifier, which is recently used for personal identity
authentication, is Finger-Knuckle-Print (FKP). In this paper, we present a novel method for …

In this paper, we proposed a novel finger knuckle pattern (FKP) based personal
authentication system using multilayer deep rule based (DRB) classifier. The presented …