Automatic Detection of Secondary Creases in Fingerprints
Citation:
Vernon, David. 'Automatic Detection of Secondary Creases in Fingerprints'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-92-32, 1992, pp17Download Item:
TCD-CS-92-32.pdf (PDF) 159.1Kb
Abstract:
Human 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.
Author: Vernon, David
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections:
Series/Report no:
Computer Science Technical ReportTCD-CS-92-32
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