Publications:Using linear symmetry features as a pre-processing step for fingerprint images

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Title Using linear symmetry features as a pre-processing step for fingerprint images
Author Kenneth Nilsson and Josef Bigun
Year 2001
PublicationType Conference Paper
Journal
HostPublication Audio- and Video-based Person Authentication : Proceedings
Conference Third international conference, AVBPA 2001, Halmstad, Sweden, June 6-8, 2001
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408414
Abstract This paper presents the idea to use linear symmetry properties as a feature based pre-processing step for fingerprint images. These features contain structural information of the local patterns. The linear symmetry can be computed by using separable spatial filtering and therefore has the potential to be a fast pre-processing step. Our results indicate that minutiae can be located as well as can be assigned a certain class type. The type of minutiae matching in combination with geometrical matching increases the matching efficiency as compared to the pure geometrical matching.