Fusion of correlated decisions for writer verification

dc.contributor.author	Ζώης, Ηλίας Ν.	el
dc.contributor.author	Αναστασόπουλος, Βασίλειος	el
dc.date.accessioned	2015-01-09T11:08:57Z
dc.date.available	2015-01-09T11:08:57Z
dc.date.issued	2015-01-09
dc.identifier.uri	http://hdl.handle.net/11400/3610
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://www.elsevier.com	en
dc.subject	Decision fusion
dc.subject	Handwritten text
dc.subject	Απόφαση σύντηξης
dc.subject	Χειρόγραφο κείμενο
dc.title	Fusion of correlated decisions for writer verification	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.identifier.secondary	doi:10.1016/S0031-3203(99)00210-1
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2001
heal.bibliographicCitation	Zois, E. and Anastassopoulos, V. (January 2001). Fusion of correlated decisions for writer verification. Pattern Recognition. 34(1). pp. 47-61. Elsevier Science Ltd. Available from: http://www.sciencedirect.com/ [Accessed 25/09/2000]	en
heal.abstract	A fusion approach is proposed for improving the efficiency of writer verification systems. A short handwritten sentence is employed for this purpose. Each word of the sentence is used to tackle an individual verification problem. Then, the word-level (local) decisions are fused in order to obtain a more reliable global decision by means of the Neyman–Pearson approach. The correlation of the local decisions is extensively studied and incorporated in the fusion procedure by means of the Bahadur–Lazarsfeld expansion series. A database containing 4800 sentences is employed to validate the performance of the method. The improvement in verification performance is due to both the fusion procedure applied and the full discretion of the writer to choose his own secret word.	en
heal.publisher	Elsevier Science Ltd	en
heal.journalName	Pattern Recognition	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true