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 …

The accuracy of automated face recognition systems is greatly affected by intraclass
variations between enrollment and identification stages. In particular, changes in lighting …

Cross-view gait recognition authenticates a person using a pair of gait image sequences
with different observation views. View difference causes degradation of gait recognition …

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

As biometric technology is rolled out on a larger scale, it will be a common scenario (known
as cross-device matching) to have a template acquired by one biometric device used by …

We present a methodology of reliability estimation in the multimodal biometric verification
scenario. Reliability estimation has shown to be an efficient and accurate way of predicting …

We address the problem of score level fusion of intramodal and multimodal experts in the
context of biometric identity verification. We investigate the merits of confidence based …

As biometric technology is being deployed, it will be a common situation to have a template
acquired by one biometric device to be used by another during testing. In our problem …

Face as a biometric is known to be sensitive to different factors, eg, illumination condition
and pose. The resultant degradation in face image quality affects the system performance …

The quality of biometric samples used by multimodal biometric experts to produce matching
scores has a significant impact on their fusion. We address the problem of quality controlled …