With the widespread of computing and mobile devices, authentication using biometrics has
received greater attention. Although biometric systems usually provide good solutions, the …

Template representativeness is a fundamental problem in a biometric recognition system.
The performance of the system degrades if the enrolled templates are un-representative of …

The first consistent and reproducible evaluation of the effect of aging on dynamic signature
is reported. Experiments are carried out on a database generated from two previous …

We propose in this paper a novel framework for serial multimodal biometric systems based
on semisupervised learning techniques. The proposed framework addresses the inherent …

Biometric-based person recognition poses a challenging problem because of large
variability in biometric sample quality encountered during testing and a restricted number of …

The extreme variability of faces in smart environment applications, due to continuous
changes in terms of pose, illumination and subject appearance (hairstyle, make-up, etc.) …

In this research a new framework for software-based liveness detection for direct attacks in
multimodal ocular biometrics across the visible spectrum is proposed. The framework aims …

Semi-supervised template update systems allow to automatically take into account the intra-
class variability of the biometric data over time. Such systems can be inefficient by including …

Being biological tissues in nature, all biometric traits undergo aging. Aging has profound
effects on facial biometrics as it causes change in shape and texture. However aging remain …

Self-update is the most commonly adopted biometric template update technique in which the
system adapts itself to the confidently classified samples. However, the recent works indicate …