Publications:Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment

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Title Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
Author Kenneth Nilsson and Josef Bigun
Year 2002
PublicationType Book Chapter
Journal
HostPublication Biometric Authentication : International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings
Conference
DOI http://dx.doi.org/10.1007/3-540-47917-1_5
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238579
Abstract For the alignment of two fingerprints position of certain landmarks are needed. These should be automatically extracted with low misidentification rate. As landmarks we suggest the prominent symmetry points (core-points) in the fingerprint. They are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.