… Palmprint recognition has been investigated over 10 years. During this period, many …
palmprint recognition have been addressed. This paper provides an overview of current palmprint …

… However, little work has been done on the comparative study of palmprint recognition … of
palmprint recognition methods, identify seven state of the art palmprint recognition methods, and …

… recent research progress of palmprint recognition as well as … future perspectives in palmprint
recognition for further works. … future perspectives in palmprint recognition for further works. …

… , the simplest wavelet, is the hest choice to palmprint recognition for our database when the
images are decomposed to 3 scales. … It is enough for an online palmprint recognition system. …

… a palmprint recognition method based on eigenspace technology. By means of the
Karhunen–Loeve transform, the original palmprint … by projecting a new palmprint image into the …

… and orientation field similarities was calculated to measure the similarity between palmprints.
The algorithm achieved a rank-1 recognition rate of 78.7 percent when searching live-scan …

… palm prints which describe shape information and can be used for coarse matching and
indexing to improve the efficiency of palm-print recognition… D palm-print recognition experiments …

… We want to enhance the discriminatory information by extracting the mutliscale edge details
of the palm prints and veins and to fuse them into a single image. The task of preserving and …

… palmprint images. Finally, we compare and test the state-of-the-art methods via the widely
used palmprint … In this paper, we use a unified standard to group all kinds of palmprint images. …

… Although 2-D palmprint recognition can achieve high accuracy, the 2-D palmprint images
can … the 2-D palmprint recognition method by using the 2-D palmprint images simultaneously …