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dc.contributor.authorVernon, David
dc.date.accessioned2007-12-14T12:50:46Z
dc.date.available2007-12-14T12:50:46Z
dc.date.issued1992-09
dc.identifier.citationVernon, David. 'Automatic Detection of Secondary Creases in Fingerprints'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-92-32, 1992, pp17en
dc.identifier.otherTCD-CS-92-32
dc.description.abstractHuman fingerprints comprise a series of whorls or ridges. In some special cases, these whorls are broken by so-called 'secondary creases': co-linear breaks across a sequence of adjacent ridges. A technique to automatically detect such creases in fingerprints is described. This technique utilizes a combination of spatial filtering and region-growing to identify the morphology of the locally fragmented fingerprint image. Regions are then thinned to form a skeletal model of the ridge structure. Creases are characterised by co-linear terminations on ridges and are isolated by analysing the Hough transform space derived from the ridge end points. Empirical results using both synthetic and real data are presented and discussed.en
dc.format.extent162975 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTrinity College Dublin, Department of Computer Scienceen
dc.relation.ispartofseriesComputer Science Technical Reporten
dc.relation.ispartofseriesTCD-CS-92-32en
dc.relation.haspartTCD-CS-[no.]en
dc.subjectFingerprint analysisen
dc.subjectsecondary creasesen
dc.subjectHough transformen
dc.subjectvirtual linesen
dc.subjectLaplacian of Gaussianen
dc.subjectspatial scaleen
dc.titleAutomatic Detection of Secondary Creases in Fingerprintsen
dc.typeTechnical Reporten
dc.identifier.rssurihttps://www.cs.tcd.ie/publications/tech-reports/reports.92/TCD-CS-92-32.pdf
dc.identifier.urihttp://hdl.handle.net/2262/12759


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