Quality-Based Score Normalization and Frame Selection for Video-Based Person Authentication

Authors:
Enrique Argones Rúa;José Luis Alba Castro;Carmen García Mateo
Affiliations:
Signal Technologies Group,Signal Theory and Communications Department, University of Vigo,;Signal Technologies Group,Signal Theory and Communications Department, University of Vigo,;Signal Technologies Group,Signal Theory and Communications Department, University of Vigo,
Venue:
Biometrics and Identity Management
Year:
2008

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Abstract

This paper addresses the incorporation of quality measures to video-based person authentication. A theoretical framework to incorporate quality measures in biometric authentication is exposed. Two different quality-based score normalization techniques are derived from this theoretical framework. Furthermore, a quality-based frame selection technique and a new face image quality measure are also presented. The ability of this quality measure and the proposed quality-based score normalization techniques and quality-based frame selection technique to improve verification performance is experimentally evaluated in a video-based face verification experiment on the BANCA Database.