Realization of a signature verification system based on morphological transformation and using the TMS320C6713 digital signal processor

dc.contributor.author	Ζώης, Ηλίας Ν.	el
dc.contributor.author	Πικάσης, Ευάγγελος	el
dc.contributor.author	Κωτσηδήμου, Ζ.	el
dc.contributor.author	Τσίτουρας, Π.	el
dc.contributor.author	Νασιόπουλος, Αθανάσιος Α.	el
dc.date.accessioned	2015-01-10T09:58:12Z
dc.date.available	2015-01-10T09:58:12Z
dc.date.issued	2015-01-10
dc.identifier.uri	http://hdl.handle.net/11400/3687
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://icta05.teithe.gr/	en
dc.subject	Image analysis
dc.subject	Signature (Law)
dc.subject	Ανάλυση εικόνας
dc.subject	Υπογραφή
dc.title	Realization of a signature verification system based on morphological transformation and using the TMS320C6713 digital signal processor	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the International Conference on Technology and Automation 2005, Thessaloniki, Greece.	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.keywordURI	http://id.loc.gov/authorities/subjects/sh98002813
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85122405
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2005
heal.bibliographicCitation	Pikasis, E., Kotsidimou, Z., Tsiouras, P. and Nassiopoulos, A. (2005). Realization of a signature verification system based on morphological transformation and using the TMS320C6713 digital signal processor. In the 5th International Conference on Technology and Automation. Thessaloniki, 15th-16th October 2005. pp. 328-333. Available from: http://icta05.teithe.gr/index.php	en
heal.abstract	In this paper a feature vector, which has been used for curve coding, is evaluated in case of a signature verification scheme using a real time digital signal processor. The feature extraction method is based on morphologically processing the vertical projections of prescaled signature images. Coding of the curve profiles is carried out using morphological opening which explores the pixel allocation along the directions of projection. Various lengths for the structuring element are employed to increase feature discrimination capabilities. The method has been implemented using the Texas Instruments TMS320C6713 digital signal processor in conjunction with the MATLAB and SIMULINK software. The efficiency of the method is examined using a new signature database which comprises 70 writers. The classification approach uses the weighted distance as a similarity measure. An error rate lower that 0.02% is obtained for the case of random and zero effort forgery.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	International Conference on Technology and Automation	en
heal.conferenceItemType	poster