Multimodal biometric systems consolidate the evidence presented by multiple biometric
sources and typically provide better recognition performance compared to systems based on …

In a multimodal biometric system, the effective fusion method is necessary for combining
information from various single modality systems. In this paper the performance of sum rule …

In many real-world applications, unimodal biometric systems often face significant limitations
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …

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 …

A multimodal biometric system integrates information from multiple biometric sources to
compensate for the limitations in performance of each individual biometric system. We …

ABSTRACT A biometric system is essentially a pattern recognition system that operates by
acquiring biometric data from an individual, extracting a feature set from the acquired data …

Experimental studies show that multimodal biometric systems for small-scale populations
perform better than single-mode biometric systems. We examine if such techniques scale to …

This paper proposes a unified framework for quality-based fusion of multimodal biometrics.
Quality-dependent fusion algorithms aim to dynamically combine several classifier …

Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

Many large-scale biometric systems operate in the identification mode and include
multimodal information. While biometric fusion is a well-studied problem, most of the fusion …