Quality-Based Score Normalization for Audiovisual Person Authentication

Authors:
Enrique Argones Rúa;José Luis Castro;Carmen García Mateo
Affiliations:
Signal Technologies Group Signal Theory and Communications Department, University of Vigo, Spain;Signal Technologies Group Signal Theory and Communications Department, University of Vigo, Spain;Signal Technologies Group Signal Theory and Communications Department, University of Vigo, Spain
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

Citing 6
Cited 0

Face Recognition by Elastic Bunch Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of Biometric Quality Measures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid and brief communication: Discriminative multimodal biometric authentication based on quality measures

Pattern Recognition
Q-stack: uni- and multimodal classifier stacking with quality measures

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
The BANCA database and evaluation protocol

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Text-independent speaker verification: state of the art and challenges

Progress in nonlinear speech processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the problem of biometric audiovisual person authentication in realistic acquisition conditions. Differences in environmental factors or acquisition devices between enrollment and test conditions modify the verification scores distribution and degrade verification performance if not taken into account. A theoretical framework that incorporates quality measures to biometric authentication is introduced. As a result, the necessary and sufficient condition that a quality measure must hold to enable improved verification performance is given. Two quality-based score normalization techniques are derived that successfully incorporate quality factors in the verification decision process. Experiments on the multimodal BANCA database for video-based face verification and speaker verification show a statistically significant verification performance improvement when using the proposed quality-based score normalization techniques.