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International Conference on Principles and Practice of Multi-Agent Systems

PRIMA 2017: PRIMA 2017: Principles and Practice of Multi-Agent Systems pp 180–197Cite as

An Agent-Based System for Printed/Handwritten Text Discrimination

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10621))

Abstract

The handwritten/printed text discrimination problem is a decision problem usually solved after a binarization of grey level or color images. The decision is usually made at the connected component level of a filtered image. These image components are labeled as printed or handwritten. Each component is represented as a point in a n dimensional space based on the use of n different features. In this paper we present the transformation of a (state of the art) traditional system dealing with the handwritten/printed text discrimination problem to an agent-based system. In this system we associate two different agents with the two different points of view (i.e. linearity and regularity) considered in the baseline system for discriminating a text, based on four (two for each agent) different features. We are also using argumentation for modeling the decision making mechanisms of the agents. We then present experimental results that compare the two systems by using images of the IAM handwriting database. These results empirically prove the significant improvement we can have by using the agent-based system.

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Notes

  1. 1.

    http://www.iam.unibe.ch/fki/databases/iam-handwriting-database.

  2. 2.

    http://gorgiasb.tuc.gr/.

  3. 3.

    http://www.cs.ucy.ac.cy/~nkd/gorgias/.

  4. 4.

    http://jade.tilab.com/.

  5. 5.

    www.swi-prolog.org.

  6. 6.

    http://www.iam.unibe.ch/fki/databases/iam-handwriting-database.

  7. 7.

    http://www.math-info.univ-paris5.fr/~cloppet/PRIMA/ResultsIamPRIMA2017.pdf.

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Author information

Authors and Affiliations

  1. LIPADE, Paris Descartes University, Paris, France

    Florence Cloppet, Pavlos Moraitis & Nicole Vincent

Authors
  1. Florence Cloppet
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  2. Pavlos Moraitis
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  3. Nicole Vincent
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Corresponding author

Correspondence to Florence Cloppet .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Bo An

  2. Universidade Federal Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    Ana Bazzan

  3. Universidade Nova de Lisboa, Caparica, Portugal

    João Leite

  4. Université Côte d’Azur, Sophia Antipolis, France

    Serena Villata

  5. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Leendert van der Torre

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© 2017 Springer International Publishing AG

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Cloppet, F., Moraitis, P., Vincent, N. (2017). An Agent-Based System for Printed/Handwritten Text Discrimination. In: An, B., Bazzan, A., Leite, J., Villata, S., van der Torre, L. (eds) PRIMA 2017: Principles and Practice of Multi-Agent Systems. PRIMA 2017. Lecture Notes in Computer Science(), vol 10621. Springer, Cham. https://doi.org/10.1007/978-3-319-69131-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-69131-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69130-5

  • Online ISBN: 978-3-319-69131-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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