Paper Info
Title
Performance evaluation of fusing protected fingerprint minutiae templates on the decision level.
Abstract
In a biometric authentication system using protected templates, a pseudonymous identifier is the part of a protected template that can be directly compared. Each compared pair of pseudonymous identifiers results in a decision testing whether both identifiers are derived from the same biometric characteristic. Compared to an unprotected system, most existing biometric template protection methods cause to a certain extent degradation in biometric performance. Fusion is therefore a promising way to enhance the biometric performance in template-protected biometric systems. Compared to feature level fusion and score level fusion, decision level fusion has not only the least fusion complexity, but also the maximum interoperability across different biometric features, template protection and recognition algorithms, templates formats, and comparison score rules. However, performance improvement via decision level fusion is not obvious. It is influenced by both the dependency and the performance gap among the conducted tests for fusion. We investigate in this paper several fusion scenarios (multi-sample, multi-instance, multi-sensor, multi-algorithm, and their combinations) on the binary decision level, and evaluate their biometric performance and fusion efficiency on a multi-sensor fingerprint database with 71,994 samples.
Year
DOI
Venue
2012
10.3390/s120505246
SENSORS
Keywords
Field
DocType
decision level fusion,fingerprint,template protection,pseudonymous identifier,minutiae template,performance evaluation
Data mining,Identifier,Fingerprint recognition,Interoperability,Fusion,Binary decision diagram,Biometrics,Template,Engineering,Performance improvement
Journal
Volume
Issue
ISSN
12
5
1424-8220
Citations 
PageRank 
References 
5
0.48
17
Authors
5
Name
Order
Citations
PageRank
bian yang1201.24
Christoph Busch216333.54
Koen de Groot350.48
Haiyun Xu450.48
Raymond N J Veldhuis550.48