Efficient management and accurate monitoring are crucial for the sustainable development
of the aquaculture industry. Traditionally, monitoring methods have relied on single-modality …

The growing need for data security and security regulations has made biometric
identification technology an everyday element of daily life. Multimodal biometrics has gained …

Fingerprints are considered as one of the most important and prominent feature for an
individual identification. Due to their consistency and reliability in biometric feature …

Aim Multimodal biometric recognition authenticates or identifies someone using various
biometric features or modalities. Multimodal biometric systems use different biometric …

Recent years have seen a notable breakthrough in multimodal biometric systems, which
combine numerous biometric modalities for increased security and accuracy. This paper …

Biometric Recognition Systems (BRS) play a significant role in various applications to
protect the data from attackers. Many traditional biometric systems rely on a single trait, such …

This study presents a novel biometric recognition model amalgamating fingerprint and iris
imaging modalities for enhanced identity verification. Through a comparative analysis with …

Abstract The Negative Selection Algorithm (NSA) is a computational technique inspired by
the human immune system and widely used in various fields like intrusion detection, network …

Kebutuhan akan sistem otentikasi yang aman terus meningkat seiring perkembangan
teknologi digital. Sistem autentikasi biometrik berbasis ciri khas manusia, seperti …

Multimodal biometric systems are considered a way to minimize the limitations raised by
single traits. Log-Gabor transformation is applied as the feature extraction method on face …