Orientation features are successfully used in coding-based palmprint recognition methods.
In this paper, we propose a discriminative neighboring direction indicator to represent the …

Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Recently, contactless bimodal palmprint recognition technology has attracted increased
attention due to the COVID-19 pandemic. Many dual-camera-based sensors have been …

Palm lines are the most important features for palmprint recognition. They are best
considered as typical multiscale features, where the principal lines can be represented at a …

Design and development of efficient and accurate feature descriptors is critical for the
success of many computer vision applications. This paper proposes a new feature …

Developing 3D palmprint recognition systems has recently begun to draw attention of
researchers. Compared with its 2D counterpart, 3D palmprint has several unique merits …

Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation
invariant according to T. Ojala et al.(2002). Because texture is one of the most clearly …

The usage of finger knuckle images for personal identification has shown promising results
and generated lot of interest in biometrics. In this work, we investigate a new approach for …

In this article, we propose a joint multiview feature learning (JMvFL) method for hand-print
recognition including both finger-knuckle-print (FKP) and palmprint recognition. Unlike most …