… We systematically analyze the features in a palmprint to carry out two level matching. The
local and global line feature structures are easy to be constructed and the two level matching …

… palmprint recognition system by means of featurelevel image registration and pixel-level …
from each individual hand images, feature-level registration to align ROIs from different spectral …

… non-stationary feature level fusion to combine face and palmprint modalities. … feature
representation scheme capable of retrieving meaningful features from both the iris and palmprint …

… features in the form of blood vessel patterns also called as vein patterns. A multimodal
identification … transform to analyze the features present in palm print and palm vein images. The …

… The geometrical feature of four fingers is considered a Level-1 feature, the knuckle print of …
as Level-2 feature, and final level feature is palm print. The features in the hierarchical feature …

… schemes based on texture features have been suggested. … palm print features. In contrast
to 2D recognition approaches, 2D and 3D palm print information were fused at the feature level …

… lines, minutiae of the palmprint are also exploited for palmprint identification. For instance,
the minutiae of the palmprint were successfully used in matching latent palmprint images for …

… feature level fusion of block-wise scale invariant feature transform and texture code co-occurrence
matrix based features. … In order to select the most discriminate palm features, a feature …

… Therefore, we propose to fuse multiple biometric modalities at the feature level in order to
obtain an integrated template and to secure the fused templates using a hybrid template …

… an identification system using palmprints features. This system uses the shape of the inner
part of the hand for the extraction of biometric features identification … on multispectral palmprint …