The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

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 …

Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …

Any biometric system has drawbacks and cannot warranty 100% identification rates, nor 0%
false acceptance and rejection ratios. One way to overcome the limitations is through a …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

Automatically verifying the identity of a person by means of biometrics (eg, face and
fingerprint) is an important application in our day-to-day activities such as accessing banking …

This paper provides a review of multimodal biometric person authentication systems. The
paper begins with an introduction to biometrics, its advantages, disadvantages, and …

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

Fusing the scores of several biometric systems is a very promising approach to improve the
overall system's accuracy. Despite many works in the literature, it is surprising that there is …

User verification systems that use a single biometric indicator often have to contend with
noisy sensor data, restricted degrees of freedom, non-universality of the biometric trait and …