Trinity College Dublin, Department of Computer Science
Vernon, David. 'Automatic Detection of Secondary Creases in Fingerprints'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-92-32, 1992, pp17
Computer Science Technical Report TCD-CS-92-32
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
Please note: There is a known bug in some browsers that causes an
error when a user tries to view large pdf file within the browser window.
If you receive the message "The file is damaged and could not be
repaired", please try one of the solutions linked below based on the
browser you are using.
Items in TARA are protected by copyright, with all rights reserved, unless otherwise indicated.