Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …

Hand-based recognition systems with different traits are widely used techniques and are
trustworthy ones. We can find it in different real life fields such as banks and industries due …

This paper proposes an accurate and efficient multi-modal authentication system that makes
use of palm and knuckleprint samples. Biometric images are transformed using the …

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 …

Biometric technology knows a large attention in the recent years. In the biometric security
systems, the personal identity recognition depends on their behavioral, biological or …

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 …

Biometric systems are nowadays gaining significant attraction due to their ability to uniquely
authenticate a person on the basis of his/her unique personal body features. But, most of the …

Purpose Biometric identification system has become emerging research field because of its
wide applications in the fields of security. This study (multimodal system) aims to find more …

Multimodal biometric recognition involves two critical issues: feature representation and
multimodal fusion. Traditional feature representation requires complex image preprocessing …

At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …