In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

In this paper, a novel palmprint identification and verification algorithm is proposed based on
wide principal lines through dynamic ROI. Region of interest (ROI) extraction is an important …

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

Despite being reliable, palmprints have not received as much attention as other biometrics
such as fingerprints, face or iris. Amount of information provided by high resolution …

Multispectral palmprint recognition has shown broad prospects for personal identification
due to its high accuracy and great stability. In this paper, we develop a novel illumination …

The spectral minutiae representation (SMC) has been recently proposed as a novel method
to minutiae‐based fingerprint recognition, which is invariant to minutiae translation and …

Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

This paper presents a new public available database for latent palmprint identification.
Latent palmprint identification is an important research area which includes scientific …

Recently, personal identification, which is based on the palmprint texture features analysis,
has widely attracted the attention of several researchers and has gained a great popularity …

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 …