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 …

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 …

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) …

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

Multimodal biometric system can be accomplished at different levels of fusion and achieve
higher recognition performance than the unimodal system. This paper concerned to study …

A multimodal biometric system integrates information from more than one biometric modality
to improve the performance of each individual biometric system and make the system robust …

Recent trends in artificial intelligence tools-based biometrics have overwhelming attention to
security matters. The hybrid approaches are motivated by the fact that they combine mutual …

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 …

Providing security in biometrics is the major challenging task in the current situation. A lot of
research work is going on in this area. Security can be more tightened by using complex …

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