With the growing demand for information security, biometric recognition technology has
been widely used in daily life. Due to the disadvantages of unimodal biometric system …

In this paper, a new multi-modal biometric identification system is proposed using a
Convolutional neural network (CNN), in which we make an early fusion (sensor level fusion) …

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 …

With the increasing demand for user recognition in several recent applications, experts
highly recommend using biometric identification technology in application development …

This paper presents a new feature-level information fusion mechanism based on shuffle
coding, called shuffle coding-based feature-level fusion (SC-FLF), for personal …

Biometric identification technology has become increasingly common in our daily lives as
the requirement for information protection and control legislation has grown around the …

Digital technology is always in our lives and hence security using biometrics has become
inevitable in areas like banking, logical access control, law and enforcement etc. Person …

In today's information age, how to accurately identify a person's identity and protect
information security has become a hot topic of people from all walks of life. At present, a …

These days, the safety of personal information has become a matter of great concern for
everyone. In this matter, the concept of Multimodal Biometrics has attracted the interest of the …

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 …