Event based offline signature modeling using grid source probabilistic coding

dc.contributor.author	Μπάρκουλα Κωνσταντίνα	el
dc.contributor.author	Ζώης, Ηλίας Ν.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.contributor.author	Οικονόμου, Γεώργιος	el
dc.date.accessioned	2015-01-09T14:16:12Z
dc.date.issued	2015-01-09
dc.identifier.uri	http://hdl.handle.net/11400/3626
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	Χαρακτηριστικά πλέγματος
dc.subject	Signature Verification
dc.subject	Grid Features
dc.subject	Επαλήθευση υπογραφής
dc.title	Event based offline signature modeling using grid source probabilistic coding	en
heal.type	journalArticle
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.publicationDate	2013
heal.bibliographicCitation	Barkoula, K., Zois, E., Zervas, E. and Economou, G. (2013). Event Based Offline Signature Modeling Using Grid Source Probabilistic Coding. New Trends in Image Analysis and Processing – ICIAP 2013. vol. 8158. pp. 77-85. Springer-Verlag.	en
heal.abstract	A new offline handwritten signature modeling is introduced that confluences disciplines from grid feature extraction and information theory. The proposed scheme advances further a previously reported feature extraction technique which exploits pixel transitions along the signature trace over predetermined two pixel paths. In this new work the feature components, partitioned in groups, are considered as events of a grid based discrete space probabilistic source. Based on the 16-ary FCB2 feature, a set of 87 orthogonal event schemes, organized in tetrads, is identified. Next an entropy rule is drawn in order to declare the most appropriate tetrad scheme for representing a writer’s signature. When skilled forgery is encountered verification results derived on both the GPDS300 dataset and a proprietary one, indicate enhanced EER rates compared to other approaches, including the previous reference of FCB2 as well.	en
heal.publisher	Springer-Verlag	en
heal.journalName	New Trends in Image Analysis and Processing – ICIAP 2013	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true