Off-line signature verification based on ordered grid features

dc.contributor.author	Μπάρκουλα, Κωνσταντίνα	el
dc.contributor.author	Οικονόμου, Γεώργιος	el
dc.contributor.author	Ζώης, Ηλίας Ν.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.date.accessioned	2015-01-12T17:29:19Z
dc.date.issued	2015-01-12
dc.identifier.uri	http://hdl.handle.net/11400/3860
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	Grid Features
dc.subject	Signature verification
dc.subject	Χαρακτηριστικά πλέγματος
dc.subject	Επαλήθευση υπογραφής
dc.title	Off-line signature verification based on ordered grid features	en
heal.type	conferenceItem
heal.secondaryTitle	an evaluation	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.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.bibliographicCitation	Barkoula, K., Zois, E., Economou, G., Zois, E. and Zervas, E. Off-line signature verification based on ordered grid features: an evaluation.	en
heal.abstract	A novel offline signature modeling is introduced and evaluated which attempts to advance a grid based feature extraction method uniting it with the use of an ordered powerset. Specifically, this work represents the pixel distribution of the signature trace by modeling specific predetermined paths having Chebyshev distance of two, as being members of alphabet subsets-events. In addition, it is proposed here that these events, partitioned in groups, are further explored and processed within an ordered set context. As a proof of concept, this study progresses by counting the events’ first order appearance (in respect to inclusion) at a specific powerset, along with their corresponding distribution. These are considered to be the features which will be employed in a signature verification problem. The verification strategy relies on a support vector machine based classifier and the equal error rate figure. Using the new scheme verification results were derived for both the GPDS300 and a proprietary data set, while the proposed technique proved quite efficient in the handling of skilled forgeries as well.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	[χ.ό.]	el
heal.conferenceItemType	full paper