Fingerprint matching with self organizing maps

Ouzounoglou, AN; Economopoulos, TL; Asvestas, PA; Matsopoulos, GK

dc.contributor.author	Ouzounoglou, AN	en
dc.contributor.author	Economopoulos, TL	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Matsopoulos, GK	en
dc.date.accessioned	2014-03-01T02:52:41Z
dc.date.available	2014-03-01T02:52:41Z
dc.date.issued	2010	en
dc.identifier.issn	16800737	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35989
dc.subject	distinctive points extraction	en
dc.subject	Fingerprint image correspondence	en
dc.subject	matching score	en
dc.subject	self organizing maps	en
dc.subject.other	distinctive points extraction	en
dc.subject.other	Equal error rate	en
dc.subject.other	Fingerprint images	en
dc.subject.other	Fingerprint matching	en
dc.subject.other	Main process	en
dc.subject.other	Matching score	en
dc.subject.other	Neurotechnology	en
dc.subject.other	Biochemical engineering	en
dc.subject.other	Biometrics	en
dc.subject.other	Image processing	en
dc.subject.other	Medical computing	en
dc.subject.other	Self organizing maps	en
dc.title	Fingerprint matching with self organizing maps	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-13039-7_77	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-13039-7_77	en
heal.publicationDate	2010	en
heal.abstract	In this paper, an automatic scheme for the identification of fingerprint images is presented. The scheme consists of two main processes: the extraction of distinctive points only from the template fingerprint image and the detection of their corresponding ones (if they exist) on the input fingerprint image using an implementation of the Self Organizing Maps. The correspondence quality is evaluated using a proper metric, which determines the matching between the two images. The proposed scheme was tested on fingerprint image pairs subject to known and unknown transformations using the VeriFinger-Sample-Data-Base of NeuroTechnology. The overall performance for fingerprints originated from the same and different fingers was 94.12% in terms of the Equal Error Rate. © 2010 International Federation for Medical and Biological Engineering.	en
heal.journalName	IFMBE Proceedings	en
dc.identifier.doi	10.1007/978-3-642-13039-7_77	en
dc.identifier.volume	29	en
dc.identifier.spage	307	en
dc.identifier.epage	310	en