In this article, we propose a collaborative palmprint-specific binary feature learning method
and a compact network consisting of a single convolution layer for efficient palmprint feature …

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

Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …

Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …

Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …

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

Palmprint direction patterns have been widely and successfully used in palmprint
recognition methods. Most existing direction-based methods utilize the pre-defined filters to …

Palmprint recognition has drawn a lot of attentions during recent years. Different features
and algorithms have been proposed for palmprint recognition in the past such as Gabor …

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 …

Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual
recognition. In this paper, we present a comparative study of three popular pre-trained CNN …