Paper Info
Title
CMC curve properties and biometric source weighting in multi-biometric score-level fusion
Abstract
Multi-biometrics tries to build a unified biometric decision based on multiple biometric sources in an effort to gain more accuracy and robustness. Multi-biometric fusion aims at optimally combining the information produced by the multiple biometric sources, this usually requires assigning relative weights for the biometric sources to optimize their effect on the final decision. This work presents a new approach for biometric sources weighting within a score-level multi-biometric system. The presented solution tries to investigate the properties of the cumulative match characteristic (CMC) curve, which represents the biometric performance under the identification scenario, and extract biometric source weights based on those properties. The proposed solution is evaluated along with a set of state of the art and best practice weighting techniques. The evaluation was performed on the Biometric Scores Set BSSR1 database and a satisfying and stable performance was achieved.
Year
Venue
Keywords
2014
Information Fusion
face recognition,fingerprint identification,CMC curve properties,biometric scores set BSSR1 database,biometric source weighting,cumulative match characteristic curve,face matchers,fingerprint matchers,multibiometric score-level fusion system
DocType
Citations 
PageRank 
Conference
4
0.44
References 
Authors
0
3
Name
Order
Citations
PageRank
Naser Damer111730.86
Alexander Opel2162.59
Alexander Nouak3597.46