Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

Efficient deep palmprint recognition has become an urgent issue for the demand of personal
identification on mobile/wearable devices. Compared to other biometrics, palmprint …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

Local binary pattern (LBP) algorithm and its variants have been used extensively to analyse
the local textural features of digital images with great success. Numerous extensions of LBP …

Biometrics system uses an individual's physical or behavioural feature to recognise an
individual. An easy-to-capture biometric modality that could work well with a commodity …

This study consisted of three parts to evaluate the performance of Lumicyano™ on a variety
of fabrics. One part assessed the impact of dye percentage (8%, 9% and 10%) on …

In the last few years, most works on palmprint recognition systems have been focused on
developing a practical system that should have high performance in term of recognition …

For the past decades, recognition technologies of multispectral palmprint have attracted
more and more attention due to their abundant spatial and spectral characteristics compared …

In the current, digitally revolutionized world, human authentication can be seen as a very
important social necessity. All the traditional token or knowledge-based methods alone …

Trusted identification approaches play a critical role in everyday life and daily activities of
humans. Hand as a physiological characteristic that has high acceptability and stability that …