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

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 has been proved to be an effective biometric for personal identification in recent
years. Inspired by the good power of Gabor filter in capturing specific texture characteristics …

In view of the fact that finger veins are sensitive to noise and deformation during image
collection, a method of identifying finger veins based on a multi-orientation binary pattern …

The finger vein recognition technology, using the finger vein feature for identification, due to
its liveness, easy collection features, becomes more popular. In order to overcome the …

In this paper, a new finger vein recognition method based on Gabor wavelet and Local
Binary Pattern (GLBP) is proposed. In the new scheme, Gabor wavelet magnitude and Local …

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

The recognition results of some finger vein recognition algorithms are greatly affected by the
quality of the finger vein images. To overcome this effect in some extend, a new finger vein …

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 …

Finger vein is a new and secure biometric for personal authentication due to its line-structure
network with abundant local and orientation features. However, these features cannot be …