… 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 …

… 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 …

… 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 …

… 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 …

… propose two palmprint identification schemes … level fusion, combing matching scores of
principal lines and Locality Preserving Projections features, has been made for final identification …

… -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 …

… extraction, feature matching and decision-… feature extraction method by converting a palmprint
image from a spatial domain to a frequency domain using Fourier Transform. The features …

… 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 …

… recognition using feature level fusion. Initially we consider two data sets namely face and
palmprint. Using multi texton histogram we extract the features from the face and palmprints …

… 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 …