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Handwriting Recognition Algorithm in Different Languages: Survey

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Visual Informatics: Bridging Research and Practice (IVIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5857))

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Abstract

In this paper several handwriting recognition algorithms have been evaluated with respect to the size of database, language and recognition rate. These algorithms apply supervised, unsupervised and sometimes combination of those classifiers. In number of those cases some suggestions are given about classifier and size of database to improve recognition rate.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Kerman Iran,  

    Hamid Mirvaziri, Mohammad Masood Javidi & Najme Mansouri

Authors
  1. Hamid Mirvaziri
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  2. Mohammad Masood Javidi
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  3. Najme Mansouri
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, United Kingdom

    Peter Robinson

  3. Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College, SW7 2AZ, London, UK

    Maria Petrou

  4. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  5. School of Computer Science and Information Technology, RMIT University, GPO Box 2476, 3001, Melbourne, Victoria, Australia

    Heiko Schröder

  6. Department of Computer Science and Information Engineering, Tamkang University, Tamkang University,, Taiwan

    Timothy K. Shih

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© 2009 Springer-Verlag Berlin Heidelberg

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Mirvaziri, H., Masood Javidi, M., Mansouri, N. (2009). Handwriting Recognition Algorithm in Different Languages: Survey. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_46

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  • DOI: https://doi.org/10.1007/978-3-642-05036-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05035-0

  • Online ISBN: 978-3-642-05036-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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