Curvelet transform-based features extraction for fingerprint identification
| dc.contributor.author | Guesmi, Hanene | |
| dc.contributor.author | Trichili, Hanene | |
| dc.contributor.author | Alimi, Adel M. | |
| dc.contributor.author | Solaiman, Basel | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-11-19T13:16:41Z | |
| dc.date.available | 2018-11-19T13:16:41Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The performance of the fingerprint identification process highly depends on its extractor of fingerprint features. So, to reduce the dimensionality of the fingerprint image and improve the identification rate, a fingerprint features extraction method based on Curvelet transform is proposed and presented in this paper. Thus, our paper focuses on presenting of our Curvelet-based fingerprint features extraction method. This method consists of two steps: decompose the fingerprint into set of sub-bands by the Curvelet transform and automatic extraction of the most discriminative statistical features of these sub-bands. An extensive experimental evaluation shows that the proposed method is effective and encouraging. | en |
| dc.identifier.isbn | 978-3-88579-290-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/18317 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2012 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-196 | |
| dc.title | Curvelet transform-based features extraction for fingerprint identification | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 427 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 417 | |
| gi.conference.date | 06.-07. September 2012 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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