With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Identity-recognition technologies require assistive equipment, whereas they are poor in
recognition accuracy and expensive. To overcome this deficiency, this paper proposes …

In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face,
iris, and fingerprint) for person identification. The proposed deep multimodal fusion …

Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

Biometric systems have been actively emerging in various industries in the past few years
and continue to provide higher-security features for access control systems. Many types of …

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

The objective of multimodal information fusion is to mathematically analyze information
carried in different sources and create a new representation that will be more effectively …

Sažetak The goal of multimodal biometric recognition system is to make a decision by
identifying their physiological behavioural traits. Nevertheless, the decision-making process …

With the increasing demand for information security and security regulations all over the
world, biometric recognition technology has been widely used in our everyday life. In this …

Multimodal biometrics provides rich information in biometric recognition systems, thus a
valid multimodal feature fusion framework and an efficient recognition algorithm are …