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 …

Palmprint recognition is a very important field of biometrics, and has been intensively
researched on both feature extraction and classification methods. Recently, deep learning …

In recent years, palmprint recognition has gained increased interest and has been a focus of
significant research as a trustworthy personal identification method. The performance of any …

With the rapid development of mobile devices, smartphones have gradually become an
indispensable part of people's lives. Meanwhile, biometric authentication has been …

Palm-related biometrics have been widely studied for a long time, as the palm contains
many distinctive patterns. However, most of the existing systems are designed to work within …

Biometric systems consist of devices, algorithms, and procedures used to recognize
individuals or classes of individuals based on their physical or behavioral characteristics …

Image enhancement using visible (RGB) and near-infrared (NIR) image data has been
shown to enhance useful details of the image. While the enhanced images are commonly …

In this paper, we propose a novel contactless palmprint authentication system where the
system uses a CCD camera to capture the user's hand at a distance without any restrictions …

Extracting rotation and translation invariant features is a difficult task for palmprint
recognition. Traditional methods have difficulty in dealing with palmprint images degraded …

Most state-of-the-art methods in recognizing rotated, scaled, and translated (RST) palmprint
image have difficulty to achieve the tradeoff between accuracy and robustness. Inspired by …