Structural features are capable of effectively capturing the overall texture variations in
images. However, in locally prominent areas with visible veins, other characteristics such as …

Finger vein (FV) biometrics is one of the most promising individual recognition traits, which
has the capabilities of uniqueness, anti-forgery, and bio-assay, etc. However, due to the …

Traditional methods of extracting finger vein texture changes and orientation features are
susceptible to illumination, translation, noise, and rotation, and the process has difficulty …

In this paper, the Center-Symmetric local binary pattern (CSLBP) operator is firstly used as a
feature extraction method for finger vein recognition. The CSLBP feature can be viewed as a …

More and more handcraft finger vein recognition algorithms have been proposed
successively in recent years, and the orientation coding-based finger vein recognition has …

In present days, Authentication by means of biometrics systems is used for personal
verifications. In spite of having existing technology in biometrics such as recognizing the …

Algorithms for finger vein recognition methods are generally designed based on greyscale
images containing vein distributions, but greyscale inhomogeneities and non‐venous …

Finger vein recognition has emerged as a promising biometric authentication method due to
its high accuracy and resistance to forgery. This abstract presents a novel approach to …

Finger vein patterns have recently been recognized as an effective biometric identifier and
many related work can achieve satisfied results. However, these methods usually suppose …

Finger vein images present plenty of oriented features. Local line binary pattern (LLBP) and
its variance are very good oriented feature representation methods, but their discrimination …