Direction information serves as one of the most important features for palmprint recognition.
In the past decade, many effective direction representation (DR)-based methods have been …

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

Most of the existing techniques for palmprint recognition rely on metrics, typically based on
static functions, which evaluate the distance between a pair of features. In this paper, we …

Palmprint representations using multiple filters followed by encoding, ie OrdiCode and
SMCC, always achieve promising recognition performance. With the similar architecture but …

A novel collaborative representation model with hierarchical multiscale local binary pattern
(HM-LBP) for palmprint recognition is proposed in this paper. HM-LBP can retrieve useful …

This work based on fusion of multi-algorithm used for palmprint identification system. This
piece of work is primary addressing different mechanism like Competitive Valley Hand …

Efficient feature extraction strategies play an important role in palmprint recognition systems.
Among various feature extraction methods, orientation methods such as Competitive Code …

This paper proposes a novel method to estimate the global scale of a 3D reconstructed
model within a Kalman filtering-based monocular SLAM algorithm. Our Bayesian framework …

Biometry is a technology which is based on the personal identification using their physical
features (fingerprint, hand geometry, palmprint) and/or behavioral features (voice, dynamic …

Proposed work aims to explore the discrimination capability of palmprint using Binary
Wavelet Transform (BWT). As BWT transform is able to cluster the energy corresponding the …