With the widespread application of biometrics in identification systems, palmprint recognition
technology, as an emerging biometric technology, has received more and more attention in …

The palmprint recognition system has active research works over 15 years, which are
employed on different images resolution (High and Low). This paper shows the types of …

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 contains rich unique features such as lines and textures for reliable personal
authentication. There have been a number of methods proposed for palmprint recognition in …

Biometric identification technologies, including palmprint recognition, have undergone rapid
development in recent years. This paper uses a machine vision experiment platform to build …

In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …

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

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 …

Palmprint has rich texture information, and palmprint recognition is a very promising
biometric identification technology. To study online palmprint identification technology under …

Palmprint shows great potential in biometric-based security due to its advantages of great
stability, easy collection, and high accuracy. However, with insufficient training samples, how …