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Signature Recognition Using Conjugate Gradient Neural Networks. (Fathi, Jamal.)
Bibliographical information (record 270143)
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Signature Recognition Using Conjugate Gradient Neural Networks.
Author:
 Fathi, Jamal. Search Author in Amazon Books

Publisher:
World Acad Sci. Eng & Tech-Waset,
Edition:
 2006.
Classification:
 QA76
Detailed notes
    - There are two common methodologies to verify signatures: the functional approach and the parametric approach. This paper presents a new approach for dynamic handwritten signature verification (HSV) using the Neural Network with verification by the Conjugate Gradient Neural Network (NN). It is yet another avenue in the approach to HSV that is found to produce excellent results when compared with other methods of dynamic. Experimental results show the system is insensitive to the order of base-classifiers and gets a high verification ratio.
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Status
Library
Section
EOL-1749
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NEU Grand LibraryOnline (QA76 .S54 2006)
Online electronic
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