Palmprint recognition has drawn a lot of attentions during recent years. Different features
and algorithms have been proposed for palmprint recognition in the past such as Gabor …

Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …

Deep learning method has been considered as a breakthrough in computer vision,
successfully aplied in many domains, including biometrics. Palmprint recognition has been …

This study presents a hierarchical palmprint feature extraction and recognition approach
based on multi‐wavelet and complex network (CN) since they can effectively decrease …

Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …

Palmprint recognition techniques have been widely applied in security authentication. As a
typical image processing method, convolutional neural network (CNN) has been applied to …

State-of-the-art palmprint recognition methods have achieved significant performances.
However, most of the existing methods are focused on particular scenarios such as a …

Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …