Signature verification based on line directionality

dc.contributor.author	Ζώης, Ηλίας Ν.	el
dc.contributor.author	Νασιόπουλος, Αθανάσιος Α.	el
dc.contributor.author	Αναστασόπουλος, Βασίλειος	el
dc.date.accessioned	2015-01-09T19:30:18Z
dc.date.issued	2015-01-09
dc.identifier.uri	http://hdl.handle.net/11400/3666
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.subject	Feature extraction
dc.subject	Handwriting recognition
dc.subject	Εξαγωγή χαρακτηριστικών
dc.subject	Αναγνώριση χειρογράφου
dc.title	Signature verification based on line directionality	en
heal.type	conferenceItem
heal.generalDescription	Proceedings	en
heal.classification	Electrical engineering
heal.classification	Electronics
heal.classification	Ηλεκτρολογική μηχανική
heal.classification	Ηλεκτρονική
heal.classificationURI	http://skos.um.es/unescothes/C01311
heal.classificationURI	http://zbw.eu/stw/descriptor/10455-2
heal.classificationURI	N/A-Ηλεκτρολογική μηχανική
heal.classificationURI	N/A-Ηλεκτρονική
heal.identifier.secondary	DOI: 10.1109/SIPS.2005.1579890
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2005
heal.bibliographicCitation	Zois, E., Nassiopoulos, A. and Anastassopoulos, V. (2005). Signature verification based on line directionality. In the Workshop on Signal Processing Systems Design and Implementation. pp. 343 - 346. 2nd-4th November 2005. IEEE.	en
heal.abstract	A novel technique is presented for off-line signature recognition and verification. The feature extraction procedure employs directional-vectors, similar to those used in chain codes, which provide a global measure of the signature image. The signature trace is transformed into the feature vector by measuring the directional strength of line segments having a chessboard distance equal to two. A probabilistic neural topology is employed for the design of the classifier. In order to obtain comparable results, the method was applied to a database already used in the literature. The verification procedure provides low classification error for authentic signatures while it eliminates the forgers.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	Workshop on Signal Processing Systems Design and Implementation	en
heal.conferenceItemType	full paper