Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …

This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …

Finger vein recognition has drawn increasing attention as one of the most popular and
promising biometrics due to its high distinguishes ability, security and non-invasive …

Authentication systems play an essential role in our lives today. Human biological,
behavioral, and morphological characteristics are usually used in an authentication system …

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 …

In this article, we propose a joint multiview feature learning (JMvFL) method for hand-print
recognition including both finger-knuckle-print (FKP) and palmprint recognition. Unlike most …

The impact of digital technology in biometrics is much more efficient at interpreting data than
humans, which results in completely replacement of manual identification procedures in …

Identification and authentication are ubiquitous questions which pan across various
systems. In certain domains, they are of paramount importance. Like, security forces deploy …

Due to its mobility and reliability, the outer finger-knuckle-print (FKP) possesses several
advantages over other biometric traits of the hand. However, most existing state-of-the-art …

In a post-COVID-19 world, extensive study of deep learning-based biometric authentication
techniques prompts the need to secure them. Further, the biometric data is assumed to be …