… Accuracies of 99.24% and 99.45% have been obtained in palmprint verification and palmprint
identification, respectively. These results demonstrate the power of the proposed approach…

… Palmprint geometry features are incapable to identify the identity of individuals in large
database. This is because most of the adults have similar palm width and palm area. …

… research on palmprint identification by means of normalized directional energy distribution
… by calculating the normalized directional energy content of the palmprint. Details related to …

… containing some line structural information about palmprints. so it can be extracted … features:
global furzy directional element energy feature (GFDEEF) and block edge energy feature (…

… play an important role in palmprint recognition. In this paper, another feature vector, called
the directional line energy feature (DLEF), is extracted from palmprints. DLEF contains the …

… In this paper palmprint feature extraction using kekre’s wavelets is … energy distributions.
The paper is organized as follows first we discuss some of the existing technique for palmprint …

… texture-based dynamic selection scheme for palmprint identification at coarse level. The
global texture energy is introduced to define the global palmprint features. The flow chart of the …

… a lowcost combined palm vein and palmprint personal identification system (LPVPPIS),
which … 1) We demonstrate, for the first time, an energy-efficient LPVPPIS that can achieve …

… - Palmprint identification is the measurement of The palmprintline features include principal
lines, wrinkles palmprint features … energy features of the palmprint features statistical features …

… can be obtained by filtering out the small wrinkles under the energy criterion. By adjusting the
threshold … In this section, we conduct both palmprint verification and palmprint identification …