Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/3666
Title: Signature verification based on line directionality
Authors: Ζώης, Ηλίας Ν.
Νασιόπουλος, Αθανάσιος Α.
Αναστασόπουλος, Βασίλειος
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Feature extraction;Handwriting recognition;Εξαγωγή χαρακτηριστικών;Αναγνώριση χειρογράφου
Subjects: Electrical engineering
Electronics
Ηλεκτρολογική μηχανική
Ηλεκτρονική
Issue Date: 9-Jan-2015
2005
Publisher: IEEE
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.
Description: Proceedings
Language: English
Citation: 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.
Conference: Workshop on Signal Processing Systems Design and Implementation
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/3666
Appears in Collections:Δημοσιεύσεις

Files in This Item:
File Description SizeFormat 
No6.pdf
  Restricted Access
188.08 kBAdobe PDFView/Open Request a copy


This item is licensed under a Creative Commons License Creative Commons