Data classification in presence of noise can lead to much worse results than expected for
pure patterns. In this paper we investigate this problem in the case of deep convolutional …

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 …

The performance of an automated face recognition system can be significantly influenced by
face image quality. Designing effective image quality index is necessary in order to provide …

Recent research in biometrics has suggested the existence of the" Biometric Menagerie" in
which weak users contribute disproportionately to the error rate (FAR and FRR) of a …

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 …

In the field of speaker verification, session or channel variability poses a significant
challenge. While many contemporary methods aim to disentangle session information from …

This paper describes a method of gait recognition by suppressing and using gait
fluctuations. Inconsistent phasing between a matching pair of gait image sequences …

Matching infrared (IR) facial probes against a gallery of visible light faces remains a
challenge, especially when combined with cross-distance due to deteriorated quality of the …

Abstract 1 This Thesis is focused on the quality assessment of biometric signals and its
application to multimodal biometric systems. Since the establishment of biometrics as an …