Over the past few decades, hand-based multimodal biometrics systems have achieved
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …

Human hand not only possesses distinctive feature for gender information, it is also
considered one of the primary biometric traits used to identify a person. Unlike face images …

This paper presents a multimodal biometric identification system based on finger geometry,
knuckle print and palm print features of the human hand. The hand image captured from …

This study examines the issues related to two of the most palmprint promising approaches
applied to the contactless biometric authentication and presents a performance evaluation …

There is an urgent need, accelerated by the COVID-19 pandemic, for methods that allow
clinicians and neuroscientists to remotely evaluate hand movements. This would help detect …

In this paper, an approach that makes use of knuckle creases and fingernails for person
identification is presented. It introduces a framework for automatic person identification that …

Every day, billions of fingerprint images are captured worldwide through the extensive
deployment of slap-fingerprint acquisition devices, serving e-governance programs and …

In this paper a new feature extraction method called Multi-scale Sobel Angles Local Binary
Pattern (MSALBP) is proposed for application in personal verification using biometric Finger …

In this paper, we propose a new multi-modal behavioural biometric that uses features
collected while the user slide-unlocks the smartphone to answer a call. In particular, we use …

This paper studies the reliability of geometric features for the identification of users based on
hand biometrics. Our methodology is based on genetic algorithms and mutual information …