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Electronic Data Center

Telecommunications and Radio Engineering

 

ISSN for PRINT: 0040-2508

Institutional price:

$4518.00

Issues per year:

20

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Best Paper Award Selection - Editorial Board Site

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2001, Volume56

Issue 1

  100 pages  

   

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Issue price - $197.00  

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  • Off-Line Signature Recognition Using Feature Extraction and Multilayer Neural Networks
  • Karina Toscano-Medina, Ph.D.
    The National Polytechnic Institute of Mexico

    Gabriel Sanchez-Perez, Ph.D.
    National Polytechnic Institute of Mexico

    Mariko Nakano Miyatake, Ph.D., Professor
    Graduate School The National Polytechnic Institute of Mexico

    Hector Manuel Perez-Meana
    National Polytechnic Institute of Mexico, Mexico


    ABSTRACT

    The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five multilayer perceptrons. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.

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