Variations occurred on palmprint images degrade the performance of recognition. In this
paper, we propose a novel approach to extract local invariant features using Gabor function …

Palmprint recognition, as a new branch of biometric technology, has attracted much attention
in recent years. Various palmprint representations have been proposed for recognition …

Extracting rotation and translation invariant features is a difficult task for palmprint
recognition. Traditional methods have difficulty in dealing with palmprint images degraded …

In this paper, we propose a palmprint recognition method based on eigenspace technology.
By means of the Karhunen–Loeve transform, the original palmprint images are transformed …

Image alignment is an important step in various biometric authentication applications such
as palmprint recognition. Most of the existing palmprint alignment methods make use of …

In this paper, we propose a novel approach of Gabor feature-based (2D) 2PCA (GB (2D)
2PCA) for palmprint recognition. Three main steps are involved in the proposed GB (2D) …

To alleviate the limitation that the recent texture based algorithms for palmprint recognition
yield unsatisfactory robustness to the variations of orientation, position and illumination in …

Recently, two-dimensional locality preserving projections (2DLPP) was proposed to extract
features directly from image matrices based on locality preserving criterion. Though 2DLPP …

In this paper a new graph based approach referred to as Fisher Locality Preserving
Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs …

In this paper, we extensively exploit the discriminative orientation features of palmprint,
including the principal orientation and corresponding orientation confidence, and further …