… This paper presents a feature level … palmprint biometrics. Partitioning around medoids (PAM)
algorithm is used to partition the set of n invariant feature points of the face and palmprint …

… Automatic palmprint identification has received much attention in security applications and
law … The performance of a palmprint identification system is improved by means of feature …

… features from MCI. After that, two types of features were fused at either score level or feature
level … , we propose to adapt them for 3D palmprint identification. To our knowledge, this is the …

… feature levels, using different numbers of training images. Results report that fusion of the two
palmprint instances reaches 100% of CIR at the two levels… , fusion at feature level present a …

… 2-D and 3-D palmprint information can be fused for better recognition accuracy. The fusion
can be performed on either matching score level or feature level. For score-level fusion, we …

… a novel intra-modal feature fusion approach for palmprint identification based on fusing
multiple-texture features extracted by different descriptors using the feature fusion level. For this …

… features in palmprint-recognition tasks. As far as we know, there is only one application
of the global Haralick features for palmprint, but they are only used for aliveness detection [19]. …

… In this paper, face and palmprint are fused in feature level … palmprint, different feature
extraction methods are adopted. For face, phase congruency is used to extract its energy feature …

… Strictly speaking, palmprint recognition is a generic term that could imply either verification
or identification. In this paper, we mainly focus on palmprint identification task by reporting the …

… biometric system identification using two traits ie, face and palmprint at feature extraction level.
… This paper has presented a feature level fusion system of face and palmprint traits using a …