… If the Level-1 matching distance is smaller … feature level is then performed until the Level-i
matching distance is smaller than a predefined threshold Ti or the matching of Level-4 feature …

… has investigated a new feature level fusion method using palmprint and finger geometry
based on Canonical Correlation Analysis. In contrast with LDA based palmprint feature, the …

… of identification accuracy is hard to avert. In this paper, a novel hierarchical minutiae matching
algorithm for fingerprint and palmprint identification … fingerprints or palmprints on different …

… of palmprint and palm vein. This paper proposed a fusion method at feature level by
concatenating features of palm vein and palmprint extracted by LBP and fuse them using CCA. …

… [13] combined the output of features from PCA transform, … feature level by concatenating
features of face and palmprint extracted by LDA. In order to fully extract the discriminant features …

… fusion at the feature level to combine multiple views and modals in personal identification. A
… were evaluated on multiple view human faces and palmprints. This research demonstrates …

… Palmprint Identification is the means of recognizing an individual from the database using
his/ her palmprint features… Palmprint geometry features are incapable to identify the identity of …

… We have proposed a feature level fusion of face, palm vein and palm print modalities
using DCT for feature extraction. Using video input face recognition makes the system more …

… • We present a unified framework for the palmprint identification and use this framework to
… tation of features is more accurate and effective strategies for the palmprint identification. We …

… -based palm-print identification with another method is to apply GLCM to be a feature vector.
Furthermore, this experiment was performed using normalized feature extractor and LVQ …