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2009
Conference Paper
Titel
Multi-sample fusion with template protection
Abstract
The widespread use of biometries and its increased popularity introduces privacy risks. In order to mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometries were introduced, also known as the field of template proteetion. Besides these developments, fusion of multiple sources of biometrie information have shown to improve the verification performance of the biometrie system. Our work eonsists of analyzing feature-level fusion in the context of the template proteetion framework using the helper-data system. We verify the results using the FRGC v2 database and two feature extraction algorithms.
Author(s)