Damer, Naser ; Terhörst, Philipp ; Braun, Andreas ; Kuijper, Arjan (2017)
General borda count for multi-biometric retrieval.
2017 IEEE International Joint Conference on Biometrics (IJCB). Denver, USA (01.10.2017-04.10.2017)
doi: 10.1109/BTAS.2017.8272726
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Indexing of multi-biometric data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by including biometric sources of different nature, utilizing the knowledge about the biometric sources, and optimizing and tuning the retrieval performance. This work presents a generalized multi-biometric retrieval approach that adapts the Borda count algorithm within an optimizable structure. The approach was tested on a database of 10k reference and probe instances of the left and the right irises. The experiments and comparisons to five baseline solutions proved to achieve advances in terms of general indexing performance, tunability to certain operating points, and response to missing data. A clear advantage of the proposed solution was noticed when faced by candidate lists of low quality.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Damer, Naser ; Terhörst, Philipp ; Braun, Andreas ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | General borda count for multi-biometric retrieval |
| Sprache: | Englisch |
| Publikationsjahr: | 2017 |
| Veranstaltungstitel: | 2017 IEEE International Joint Conference on Biometrics (IJCB) |
| Veranstaltungsort: | Denver, USA |
| Veranstaltungsdatum: | 01.10.2017-04.10.2017 |
| DOI: | 10.1109/BTAS.2017.8272726 |
| URL / URN: | https://ieeexplore.ieee.org/document/8272726 |
| Kurzbeschreibung (Abstract): | Indexing of multi-biometric data is required to facilitate fast search in large-scale biometric systems. Previous works addressing this issue were challenged by including biometric sources of different nature, utilizing the knowledge about the biometric sources, and optimizing and tuning the retrieval performance. This work presents a generalized multi-biometric retrieval approach that adapts the Borda count algorithm within an optimizable structure. The approach was tested on a database of 10k reference and probe instances of the left and the right irises. The experiments and comparisons to five baseline solutions proved to achieve advances in terms of general indexing performance, tunability to certain operating points, and response to missing data. A clear advantage of the proposed solution was noticed when faced by candidate lists of low quality. |
| Freie Schlagworte: | Biometric fusion, Multimedia indexing, Biometric identification systems, Multibiometrics |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 04 Mai 2020 12:11 |
| Letzte Änderung: | 27 Feb 2023 11:25 |
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