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Advances in Soft Computing and Machine Learning in Image Processing pp 295–318Cite as

Hybrid Rough Neural Network Model for Signature Recognition

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 730))

Abstract

This chapter introduces an offline signature recognition technique using rough neural network and rough set. Rough neural network tries to find better recognition performance to classify the input offline signature images. Rough sets have provided an array of tools which turned out to be especially adequate for conceptualization, organization, classification, and analysis of various types of data, when dealing with inexact, uncertain, or vague knowledge. Also, rough sets discover hidden pattern and regularities in application. This new hybrid technique achieves good results, since the short rough neural network algorithm is neglected by the grid features technique, and then the advantages of both techniques are integrated.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny & Amir Nabil

  2. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  3. Scientific Research Group in Egypt (SRGE), Cairo, Egypt

    Mohamed Elhoseny, Aboul Ella Hassanien & Diego Oliva

  4. Departamento de Ciencias Computacionales, Tecnológico de Monterrey, Campus Guadalajara Av. General Ramón Corona, 2514, Jal, Zapopan, Mexico

    Diego Oliva

Authors
  1. Mohamed Elhoseny
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  2. Amir Nabil
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  3. Aboul Ella Hassanien
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  4. Diego Oliva
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Corresponding author

Correspondence to Mohamed Elhoseny .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. CUCEI, Departamento de Ciencias Computacionales, Universidad de Guadalajara, Guadalajara, Mexico

    Diego Alberto Oliva

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Elhoseny, M., Nabil, A., Hassanien, A.E., Oliva, D. (2018). Hybrid Rough Neural Network Model for Signature Recognition. In: Hassanien, A., Oliva, D. (eds) Advances in Soft Computing and Machine Learning in Image Processing. Studies in Computational Intelligence, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-319-63754-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-63754-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63753-2

  • Online ISBN: 978-3-319-63754-9

  • eBook Packages: EngineeringEngineering (R0)

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