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

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 …

Multimodal biometric systems are highly used over unimodal biometric systems. The
multimodal systems fuse information from multiple biometric traits to overcome the …

Forensic facial image comparison based on recognition algorithms has been widely applied
in forensic science. Previous researches have been concentrating on the cases of using …

Multi-model score fusion was considered a bottleneck problem in forensic face identification.
While the score distribution of different face models varies greatly, the existing score …

Multimodal biometric system fuses information from multiple biometric modalities to
overcome limitations of unimodal biometric system. This fusion significantly enhances the …

Computational intelligence firmly made its way into the areas of consumer applications,
banking, education, social networks, and security. Among all the applications, biometric …

In the near past, interval type-3 fuzzy set theory has been introduced as a more effective
means of addressing uncertainty in decision-making than its fuzzy set counterparts. This …

In unimodal biometric systems, there are several limitations like, non-universality, noisy data
and other security risks. To overcome these, multimodal biometric systems are increasingly …

A unimodal biometric system is often affected by inter-class similarity, intra-class variation,
non-universality, and poor data quality. A multimodal biometric system combines multiple …