… They discussed the challenges and future perspectives in palmprint recognition for further
works. Multispectral palmprint recognition is one of the most well-known biometric recognition …

… This study presents a hierarchical palmprint feature extraction and recognition approach
based on … The palmprint is first pre-filtered and decomposed once using multi-wavelet. Three …

… palmprint images, the computation required for pre-processing and extracting features is
minimal. 8) palmprints can … and complexity in the palmprint recognition process. The proposed …

… palmprint images, the computation required for pre-processing and extracting features is
minimal. 8) palmprints can … and complexity in the palmprint recognition process. The proposed …

… In order to effectively solve the low recognition problem … palmprint recognition system in
this paper by using the fast Vese–Osher decomposition model to process the blurred palmprint …

… Palmprint recognition is an important and widely used modality in biometric systems. It has
… This paper proposes a new and effective ensemble classifier for palmprint recognition based …

… To address the problem, we propose a KD model to carry out efficient palmprint recognition
using a light network. For KD model, there are a teacher network and a student network. …

… However, these two branches do not cover some palmprint images which … palmprint
identification on images collected in uncontrolled and uncooperative environment, a new palmprint …

… authentication by palmprint using Contourlet transform. In the preprocessing step, the central
part of palmprint … is applied on the central part of palmprint. Contourlet transform divides the …

… were used for palmprint recognition. Additionally, their kernelized version has also been
investigated for palmprint recognition to handle the nonlinearity variations of palmprint image. …