The need for information security and the adoption of the relevant regulations is becoming
an overwhelming demand worldwide. As an efficient solution, hybrid multimodal biometric …

In a multimodal biometric recognition system, the integration of multiple features derived
from various biometric modalities seeks to overcome the several drawbacks found in a …

Background: The most significant motivations for designing multi-biometric systems are high-
accuracy recognition, high-security assurances as well as overcoming the limitations like …

For reliable and accurate multimodal biometric based person verification, demands an
effective discriminant feature representation and fusion of the extracted relevant information …

In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …

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

In recent years biometric identification and verification of human beings based on their
physiological or behavioral characteristics have become a trend in security applications. The …

The goal of information security is to prevent unauthorized access to data. There are several
conventional ways to confirm user identity, such as using a password, user name, and keys …

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 …

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) …