A Fuzzy Hybrid Framework for Offline Signature Verification

  • Geetha Ganapathi
  • R Nadarajan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)


Signatures are widely used means of personal verification. This paper presents a fuzzy hybrid framework based person-dependent off-line signature verification using fuzzy inference rules in image contrast enhancement, fuzzy rough reduction for feature selection and Simplified fuzzy ARTMAP for verification. Three sets of experimental studies are conducted on CEDAR benchmark dataset and the results reported are comparable to other techniques in terms of classification accuracy and time.


Off-line signature verification Simplified fuzzy ARTMAP fuzzy inference rules contrast intensification fuzzy rough sets feature selection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Geetha Ganapathi
    • 1
  • R Nadarajan
    • 1
  1. 1.P.S.G. College of TechnologyCoimbatoreIndia

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