Evaluation of independence between multiple fingerprints for multibiometrics
| dc.contributor.author | Yamada, Shigefumi | |
| dc.contributor.author | Shinzaki, Takashi | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2017-07-26T10:54:17Z | |
| dc.date.available | 2017-07-26T10:54:17Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Multibiometrics provides high recognition accuracy and population coverage by combining different biometric sources. However, some multibiometrics may obtain smaller-than-expected improvement of recognition accuracy if the combined biometric sources are dependent in terms of a false acceptance by mistakenly perceiving biometric features from two different persons as being from the same person. In this paper, we evaluated whether or not features of multiple fingerprints from a same person are statistically independent. By evaluating false acceptance error using matching scores obtained by Verifinger SDK, we confirmed that these features were dependent and the FAR obtained by a fusion of the multiple fingerprints could be affected by the dependence. | en |
| dc.identifier.isbn | 978-3-88579-624-4 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-230 | |
| dc.title | Evaluation of independence between multiple fingerprints for multibiometrics | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 234 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 227 | |
| gi.conference.date | 10.-12. September 2014 | |
| gi.conference.location | Darmstadt |
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