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Presentation
Arabic/Persian cursive signature recognition and verification using line segment distribution
Faculty of Informatics - Papers (Archive)
  • A. Chalechale, University of Wollongong
  • G. Naghdy, University of Wollongong
  • Prashan Premaratne, University of Wollongong
RIS ID
11300
Publication Date
19-4-2004
Publication Details

This article was originally published as: Chalechale, A, Naghdy, G & Pramaratne, Arabic/Persian cursive signature recognition and verification using line segment distribution, 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 19-23 April 2004, 475-476. Copyright IEEE 2004.

Abstract

This work proposes a fast method for line segment extraction based on chain code differentiation. It is applied to cursive signature recognition of Arabic/Persian. The evaluation method is introduced to obtain a quantitative value for the recognition rate. The comparative results show the existing differences among the methods in recognition, building time and searching time criteria. The two methods used for comparison are invariant moments and CBLSE method.

Citation Information
A. Chalechale, G. Naghdy and Prashan Premaratne. "Arabic/Persian cursive signature recognition and verification using line segment distribution" (2004)
Available at: http://works.bepress.com/pdissanayakemudiyanselage/17/