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dc.creatorPopović, Brankica
dc.creatorBanđur, Miloš V.
dc.creatorRaičević, Anđelija M.
dc.date.accessioned2019-03-21T15:59:11Z
dc.date.available2019-03-21T15:59:11Z
dc.date.issued2011
dc.identifier.issn1392-1215
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/388
dc.description.abstractReliable extraction of true minutiae in fingerprint image is critical to the performance of an automated fingerprint identification system (AFIS). In order to utilize AFIS in law enforcement agencies first step is to digitalize an archive of fingerprints obtained by ink method. For improving the quality of automatically extracted minutiae (both in number and type) enhancement is previously performed, but, nevertheless, quite a number of spurious minutiae (especially in blurry or regions containing scars and creases) are extracted. It is crucial for AFIS performance that number of extracted (and consequently saved in fingerprint template) spurious minutia is minimized to maximal extent. In order to do so, we propose directional Log-Gabor filtering in frequency domain. Results proved to be preferable for a wide range of input digitized fingerprint imagesen
dc.publisherKaunas Univ Technology, Kaunas
dc.rightsrestrictedAccess
dc.sourceElektronika ir elektrotechnika
dc.titleRobust Fingerprint Enhancement by Directional Filtering in Fourier Domainen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractБанђур, Милош В.; Раичевић, Aнђелија М.; Поповић, Бранкица;
dc.citation.issue1
dc.citation.spage37
dc.citation.epage40
dc.citation.other(1): 37-40
dc.citation.rankM22
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_jakov_388
dc.identifier.scopus2-s2.0-79961145534
dc.identifier.wos000286694500009
dc.type.versionpublishedVersion


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