Authenticating fingerphoto images captured using a smartphone camera, provide a good
alternate solution in place of traditional pin or pattern based approaches. There are multiple …

This paper presents a novel approach for hand matching that achieves significantly
improved performance even in the presence of large hand pose variations. The proposed …

Human palmprint-based biometric solutions have been studied extensively in both
controlled and uncontrolled environments. However, the majority of existing methods do not …

This paper presents a new personal authentication system that simultaneously exploits 2D
and 3D palmprint features. The objective of our work is to improve accuracy and robustness …

Palmprint recognition provides a potential solution for noninvasive personal authentication
due to its excellent contactless property and user-security, and it has attracted tremendous …

Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

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 …

Palmprint recognition is a very important field of biometrics, and has been intensively
researched on both feature extraction and classification methods. Recently, deep learning …

The 3-D palmprint recognition has been investigated for over ten years, and various
methods have been proposed for 3-D palmprint recognition. In this article, we present a …