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Introduction to Document Analysis and Recognition

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Machine Learning in Document Analysis and Recognition

Part of the book series: Studies in Computational Intelligence ((SCI,volume 90))

Document Analysis and Recognition (DAR) aims at the automatic extraction of information presented on paper and initially addressed to human comprehension. The desired output of DAR systems is usually in a suitable symbolic representation that can subsequently be processed by computers.

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Author information

Authors and Affiliations

  1. Dipartimento di Sistemi e Informatica (DSI), University of Florence, Via S. Marta, 3, I-50139, Firenze, Italy

    Simone Marinai

Authors
  1. Simone Marinai
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Editor information

Editors and Affiliations

  1. Dipartimento di Sistemi e Informatica, University of Florence, Via S. Marta, 3, 50139, Firenze, Italy

    Simone Marinai

  2. Hitachi Central Research Laboratory, 1-280, Higashi-Koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan

    Hiromichi Fujisawa

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Marinai, S. (2008). Introduction to Document Analysis and Recognition. In: Marinai, S., Fujisawa, H. (eds) Machine Learning in Document Analysis and Recognition. Studies in Computational Intelligence, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76280-5_1

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  • DOI: https://doi.org/10.1007/978-3-540-76280-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76279-9

  • Online ISBN: 978-3-540-76280-5

  • eBook Packages: EngineeringEngineering (R0)

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