… PALMPRINT TECHNIQUES Many techniques are suggested for palmprint recognition; in this
… The palmprint is classified into six categories according to the number of principal lines and …

… palmprint identification system using Contourlet Transform. The directional energy is calculated
for directional subblocks in the contourlet … Classifier is used for palmprint matching. The …

… This paper presents a novel palmprint based identification approach … palmprint identification
system using a combination of Contourlet Transform (CT) and nonsubsampled Contourlet …

… palmprint identification system using Contourlet Transform. The directional energy is calculated
for subblocks in the contourlet … The Normalized Euclidean Classifier is used for palmprint …

… The different views of contourlet transform and DWT on palmprints … /transform-based palmprint
recognition approaches and comparable to the other state of the art palmprint recognition …

… is applied on the central part of palmprint. Contourlet transform divides the original image
to soybeans and provides important attributes for palmprint recognition. In our proposed …

… the contourlet transform has very desirable properties for invariant palmprint recognition,
we … We apply the contourlet transform to the extracted palmprint image for a number of …

… and efficiency of identification system. In this paper, at first Contourlet transform of region
of interest (ROI) calculated. Then, gray-level co-occurrence matrix (GLCM) of contourlet sub-…

… , and develops a multispectral palmprint recognition method based on a hierarchical idea.
First, it extracts the block dominant orientation code as a rough feature, and the block-based …

… be extended to multispectral palmprints, they may … palmprint recognition. The Contour Code
representation is derived from the coefficients of the Nonsubsampled Contourlet Transform (…