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Missing data estimation in multi-biometric identification and verification

: Damer, Naser; Führer, Jan Benedikt; Kuijper, Arjan


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013. Proceedings : 9 September 2013, Napoli, Italy
New York, NY: IEEE, 2013
ISBN: 978-1-4799-0625-3 (Print)
Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS) <4, 2013, Napoli>
Fraunhofer IGD ()
biometric fusion; biometric identification systems; multibiometrics; data imputation

In the practical use of multi-biometric solutions, biometric sources involved in producing the verification or identification decision do occasionally fail to produce results. This work discusses solutions for missing data in multi-biometric score-level fusion. A missing data estimation solution based on support vector regression was presented in this work and compared to four baseline solutions. The evaluation was carried under both the verification and the identification scenarios in an effort to show the effect of missing data estimation on the relatively understudied multi-biometric identification scenario. Evaluation was performed on the Biosecure DS2 score database and satisfying performance was achieved under both biometric scenarios.