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

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

Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Palmprint attracts increasing attention thanks to its several advantages. 1st-order textures
have been widely used for palmprint recognition; unfortunately, high-order textures …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Low-quality palmprint images will degrade the recognition performance, when they are
captured under the open, unconstraint, and low-illumination conditions. Moreover, the …

In this paper, we propose a fusion classification method based on reconstruction error and
normalized distance for palmprint recognition. This method first obtains an approximate …

Palmprint has gained popularity as a biometric modality and has recently attracted
significant research interest. The competition-based method is the prevailing approach for …

A palmprint recognition approach based on multi‐wavelet and convolutional neural network
(CNN) against noise and misalignment is given. CNN method has high robustness in …

In this paper, we extensively exploit the discriminative orientation features of palmprint,
including the principal orientation and corresponding orientation confidence, and further …