Multimodal biometric systems fuse information from multiple modalities to overcome
limitations of individual classifiers. Score level fusion of multiple classifiers can effectively …

Abstract Multimodal Biometric Systems are extensively employed over unimodal
counterparts for user authentication in the digital world. However, the application of …

Biometric system has been widely adopted for human verification or identification, so
inherently it requires the characteristics like high security, accuracy and acceptability …

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 …

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 …

Multimodal systems integrate multiple sources of human information to ensure high level
security. Multimodal biometric systems increase the recognition rate of the biometric systems …

Biometric authentication systems offer potential advantages over traditional knowledge‐
based methods. However, most of the biometric systems which are extensively used lack …

The basic aim of a biometric identification system is to discriminate automatically between
subjects in a reliable and dependable way, according to a specific-target application …

A multimodal biometric system that alleviates the limitations of the unimodal biometric
systems by fusing the information from the respective biometric sources is developed. A …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …