Assignment of the evidential value of a fingermark general pattern using a Bayesian network
| dc.contributor.author | Haraksim, Rudolf | |
| dc.contributor.author | Meuwly, Didier | |
| dc.contributor.author | Doekhie, Gina | |
| dc.contributor.author | Vergeer, Peter | |
| dc.contributor.author | Sjerps, Marjan | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-10-31T12:34:05Z | |
| dc.date.available | 2018-10-31T12:34:05Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | When visible on a fingermark, the general pattern maintains its importance in the fingerprint examination procedure, since the difference between the general pattern of a fingermark and a fingerprint is sufficient for exclusion. In the current work, the importance of the general pattern is extended by evaluating the strength of evidence of a match given corresponding general pattern. In current practice (due to the lack of statistical support for the general pattern evidence) the fingerprint examiners assign personal probabilities to the general pattern evidence based on their knowledge and experience, while in this work the probabilities are calculated using a Bayesian Network which is fed by empirical data. | en |
| dc.identifier.isbn | 978-3-88579-606-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17695 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2013 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-212 | |
| dc.title | Assignment of the evidential value of a fingermark general pattern using a Bayesian network | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 109 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 99 | |
| gi.conference.date | 04.-06. September 2013 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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