Logo des Repositoriums
 

JPEG optimisation for fingerprint recognition: generalisation potential of an evolutionary approach

dc.contributor.authorHerzog, Thomas
dc.contributor.authorUhl, Andreas
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2017-06-30T08:19:15Z
dc.date.available2017-06-30T08:19:15Z
dc.date.issued2015
dc.description.abstractFor fingerprint-based biometric systems, JPEG has traditionally been one of the primary storage formats. In this paper, we investigate methods of optimising JPEG compression for increased matching scores at constant compression rates. To achieve this, an evolutionary approach is employed to optimise the quantisation matrix used by JPEG. While finding matrices that are better suited for different sets of fingerprints, different fingerprint sensors, and different recognition algorithms as they have been optimised for remains elusive, we find improvements in matching performance for dataset fitting scenarios.en
dc.identifier.isbn978-3-88579-639-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-245
dc.titleJPEG optimisation for fingerprint recognition: generalisation potential of an evolutionary approachen
dc.typeText/Conference Paper
gi.citation.endPage294
gi.citation.publisherPlaceBonn
gi.citation.startPage287
gi.conference.date9.-11. September 2015
gi.conference.locationDarmstadt

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
287.pdf
Größe:
131.08 KB
Format:
Adobe Portable Document Format