Reconstructing orientation field from fingerprint

dc.contributor.author	Kumar, Srinivasa	en
dc.contributor.author	Jampani, V. D. V. Prasad	en
dc.date.accessioned	2015-02-01T17:37:50Z
dc.date.available	2015-02-01T17:37:50Z
dc.date.issued	2015-02-01
dc.identifier.uri	http://hdl.handle.net/11400/5340
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Biometric techniques
dc.subject	Βιομετρικές τεχνικές
dc.subject	Immutable fingerprints
dc.subject	Minutiae
dc.subject	Recognition system
dc.subject	Conventional methods
dc.subject	Decision fusion scheme
dc.subject	Αμετάβλητα δακτυλικά αποτυπώματα
dc.subject	Σύστημα αναγνώρισης
dc.subject	Συμβατικές μέθοδοι
dc.subject	Απόφαση σχήματος σύντηξης
dc.title	Reconstructing orientation field from fingerprint	en
heal.type	journalArticle
heal.secondaryTitle	minutiae to improve minutiae-matching accuracy	en
heal.classification	Technology
heal.classification	Engineering
heal.classification	Τεχνολογία
heal.classification	Μηχανική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/19795-3
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Μηχανική
heal.language	en
heal.access	free
heal.publicationDate	2010
heal.bibliographicCitation	Kumar, S. and Jampani, V.D.V.P. (2010). Reconstructing orientation field from fingerprint: minutiae to improve minutiae-matching accuracy. "e-Journal of Science & Technology". [Online] 5(5): 33-40. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Among all the biometric techniques, fingerprint-based identification is the oldest method which has been successfully used in numerous applications. Everyone is known to have unique, immutable fingerprints. A fingerprint is made of a series of ridges and furrows on the surface of the finger. The uniqueness of a fingerprint can be determined by the pattern of ridges and furrows as well as the minutiae points. Minutiae points are local ridge characteristics that occur at either a ridge bifurcation or a ridge ending. Minutiae are very important features for fingerprint representation, and most practical fingerprint recognition systems only store the minutiae template in the database for further usage. The conventional methods to utilize minutiae information are treating it as a point set and finding the matched points from different minutiae sets. In this virtual minutiae is used for fingerprint recognition, in which the fingerprint’s orientation field is reconstructed from virtual minutiae and further utilized in the matching stage to enhance the system’s performance. A decision fusion scheme is used to combine the reconstructed orientation field matching with conventional minutiae based matching. Since orientation field is an important global feature of fingerprints, the proposed method can obtain better results than conventional methods. In our paper it is implemented using ‘MATLAB’ and considering the virtual minutiae.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true