… 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 …

… 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 …

… 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 …

… -many comparisons required for palmprint identification. The problem … In this paper, we
propose a novel palmprint identification … palmprint identification without significant degradation of …

… imposes the condition on the identification process. To make the identification process fast,
… This paper proposes the palmprint identification algorithm with dimensionality reduction at …

… Motivated by LSR and LRR, this article tries to directly learn latent features from the pixels
for palmprint recognition. In order to address problems faced by LSR and LRR, we propose a …

… Wavelet transform can hierarchically decompose a signal into low- and high-frequency
components, providing a multi-resolution analysis of the signal. Hosseini et al. [4] extracted …