As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

In this paper, a novel feature extraction framework is presented for palmprint identification,
which provides a shiftable and gray scale invariant description of image achieving high …

Palmprints have been broadly used for personal authentication because they are highly
accurate and incur low cost. Most previous works have focused on two-dimensional (2-D) …

Recent researches have shown that the texture descriptor local tri‐directional patterns
(LTriDP) performs well in many recognition tasks. However, LTriDP cannot effectively …

Binary pattern learning has been achieved promising recognition performance in palmprint
identification. However, most of direction representation-based methods are hand-crafted …

An approach of palmprint feature extraction based on the second frequency band curvelet
coefficients is proposed in this paper. As we all know, the veins of the palmprint are the …

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 …

During the past decade, more efforts have been put to utilize palmprint as a biometric
identity. This research work presents novel algorithms to extract multiple palmprint features …

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine
it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex …

Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …