Finger vein images are rich in orientation and edge features. Inspired by the edge histogram
descriptor proposed in MPEG-7, this paper presents an efficient orientation-based local …

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 …

A finger vein recognition method based on two-dimensional histogram of oriented lines
(2DHOL) and two-directional two-dimensional Fisher principal component analysis ((2D) …

Since captured finger vein images are usually of low quality, it is challenging to extract
reliable finger vein features directly from the original finger vein images. Most current …

Difference summation is utilized to calculate the differential excitation of Weber Local
Descriptor (WLD), however, this method is sensitive to noise and may offset positive and …

In this paper, a system based on image descriptor and Local Histogram Concatenation
(LHC) for finger vein recognition is introduced. The LHC of image descriptors such as LBP …

In this paper, we try to solve the problem that it is difficult to distinguish between the
background and foreground regions in vein images, and improve the feature extraction of …

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

Local feature descriptors exhibit great superiority in finger vein recognition due to their
stability and robustness against local changes in images. However, most of these are …

In finger vein recognition, vein points-based methods classified the image points into vein
points and non-vein points and only measured the vein points for the recognition. All points …