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

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 …

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 has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …

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 …

In the classic algorithm, palmprint recognition requires extraction of palmprint features
before classification and recognition, which will affect the recognition rate. To solve this …

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 …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

As one promising branch of biometrics, palmprint recognition has received significant
attention and made extraordinary progress in the past decades. The crucial step of palmprint …

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