In this article, we propose a collaborative palmprint-specific binary feature learning method
and a compact network consisting of a single convolution layer for efficient palmprint feature …

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

Palmprint identification refers to searching in a database for the palmprint template, which is
from the same palm as a given palmprint input. The identification process involves …

In this paper, we propose a novel palmprint verification approach based on principal lines. In
feature extraction stage, the modified finite Radon transform is proposed, which can extract …

Palmprint is one of the relatively new physiological biometrics due to its stable and unique
characteristics. The rich texture information of palmprint offers one of the powerful means in …

In order to extract invariant features in the palmprint transformation of scale, rotation and
affine distortion, a coarse-to-fine palmprint recognition method is proposed by combining the …

Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …

Palmprint recognition has been widely applied in security and, particularly, authentication. In
the past decade, various palmprint recognition methods have been proposed and achieved …

Palmprint identification provides a new technique for personal authentication. Previous
research on palmprint identification mainly focuses on feature extraction and representation …

In this paper, the problem of Palmprint Recognition Across Different Devices (PRADD) is
investigated, which has not been well studied so far. Since there is no publicly available …