Fingerprint Classification by Combination of Flat and Structural Approaches

TitleFingerprint Classification by Combination of Flat and Structural Approaches
Publication TypeConference Paper
Year of Publication2001
AuthorsMarcialis, GL, Roli, F, Frasconi, P
EditorBigun, J, Smeraldi, F
Conference Name3rd International Conference on Audio- and Video- Based Biometric Person Authentication AVBPA'01
Volume2091
Pagination241-246
Date Published03/06/2001
PublisherSpringer
Conference LocationHalmstad (Sweden)
Keywordsbio01
Abstract

This paper investigates the advantages of the combination of flat and structural approaches for fingerprint classification. A novel structural classification method is described and compared with the “multichannel” flat method recently proposed by Jain et al.. Performances and complementarity of the two methods are evaluated using NIST-4 Database. A simple approach based on the concept of “metaclassification” is proposed for the combination of the two fingerprint classification methods. Reported results point out the potential advantages of the combination of flat and structural fingerprint-classification approaches. In particular, such results show that the exploitation of structural information allows increasing classification performances.

Citation Key 160