Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …

Recognizing people by their ear has recently received significant attention in the literature.
Several reasons account for this trend: first, ear recognition does not suffer from some …

Automatic person identification from ear images is an active field of research within the
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …

If fusion rules cannot adapt to the changes of environment and individual users, multimodal
systems may perform worse than unimodal systems when one or more modalities encounter …

Metric learning has significantly improved machine learning applications such as face re-
identification and image classification using K-Nearest Neighbor (KNN) and Support Vector …

In the recent years, we have witnessed the rapid development of face recognition, though it
is still plagued by variations such as facial expressions, pose, and occlusion. In contrast to …

While existing multibiometic Dempster-Shafer theory fusion approaches have demonstrated
promising performance, they do not model the uncertainty appropriately, suggesting that …

The radiation of high-order spinning modes from an unflanged duct with or without a mean
flow is studied numerically. The application is to noise radiation from the intake duct of an …

Biometric systems have to address many requirements, such as large population coverage,
demographic diversity, varied deployment environment, as well as practical aspects like …

Single biometric modalities like facial features and vein patterns despite being reliable
characteristics show limitations that restrict them from offering high performance and …