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Handwritten Numerical Character Recognition Based on Paraconsistent Artificial Neural Networks

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Recent Developments in Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 513))

Abstract

This paper presents an automated computational process able to recognize a handwritten numerical characters and Magnetic Ink Character Recognition used on bank checks based on Paraconsistent Artificial Neural Networks. The methodology employed was chosen for being a tool able to work with imprecise, inconsistent and paracomplete data without trivialization. The recognition process is performed from some character features previously selected based on some Graphology and Graphoscopy techniques and, the analysis of such features as well as the character recognition are performed by Paraconsistent Artificial Neural Networks.

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Author information

Authors and Affiliations

  1. School of Medicine, University of São Paulo, São Paulo, Brazil

    Sheila Souza

  2. Institute for Advanced Studies, University of São Paulo, São Paulo, Brazil

    Sheila Souza & Jair Minoro Abe

  3. PRODESP, Data Processing Company of São Paulo State, São Paulo, Brazil

    Sheila Souza

  4. Graduate Program in Production Engineering, ICET, Paulista University, São Paulo, Brazil

    Jair Minoro Abe

Authors
  1. Sheila Souza
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  2. Jair Minoro Abe
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Corresponding author

Correspondence to Sheila Souza .

Editor information

Editors and Affiliations

  1. Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania

    Amelia Badica

  2. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawinski

  3. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

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© 2014 Springer International Publishing Switzerland

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Souza, S., Abe, J.M. (2014). Handwritten Numerical Character Recognition Based on Paraconsistent Artificial Neural Networks. In: Badica, A., Trawinski, B., Nguyen, N. (eds) Recent Developments in Computational Collective Intelligence. Studies in Computational Intelligence, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-01787-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-01787-7_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01786-0

  • Online ISBN: 978-3-319-01787-7

  • eBook Packages: EngineeringEngineering (R0)

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