Damer, Naser ; Führer, Jan Benedikt ; Kuijper, Arjan (2013)
Missing Data Estimation in Multi-biometric Identification and Verification.
2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.
doi: 10.1109/BIOMS.2013.6656147
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Damer, Naser ; Führer, Jan Benedikt ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Missing Data Estimation in Multi-biometric Identification and Verification |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | IEEE, Inc., New York |
| Veranstaltungstitel: | 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications |
| DOI: | 10.1109/BIOMS.2013.6656147 |
| Kurzbeschreibung (Abstract): | 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. |
| Freie Schlagworte: | Business Field: Digital society, Biometric fusion, Biometric identification systems, Multibiometrics, Data imputation |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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