Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …

Palmprint has been found to possess distinct features for reliable person identification and
gender classification. Traditionally, the palmprint-based recognition approaches often rely …

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

Biometric technology is an emerging field of information technology that recognizes a
person based on a feature vector derived from specific physiological or behavioral …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

Due to the ease of handling with low resolution images, low cost hardware and high
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …

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 …

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

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …