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SpringerBriefs in Computer Science

Markov Models for Handwriting Recognition

Authors: Plötz, Thomas, Fink, Gernot A.

  • Introduces the typical architecture of a Markov model-based handwriting recognition system
  • Describes the essential theoretical concepts behind Markovian models
  • Provides a thorough review of the solutions proposed in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition
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eBook $29.99
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  • ISBN 978-1-4471-2188-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Download immediately after purchase
Softcover $39.95
price for USA
  • ISBN 978-1-4471-2187-9
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  • Usually dispatched within 3 to 5 business days.
About this book

Since their first inception more than half a century ago, automatic reading systems have evolved substantially, thereby showing impressive performance on machine-printed text. The recognition of handwriting can, however, still be considered an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, so far, no standard procedures for building Markov-model-based recognizers could be established though trends toward unified approaches can be identified.

Markov Models for Handwriting Recognition provides a comprehensive overview of the application of Markov models in the research field of handwriting recognition, covering both the widely used hidden Markov models and the less complex Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text gives a thorough review of the solutions proposed in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.

Reviews

From the reviews:

“The book provides a general introduction with 75 pages for researchers on handwriting recognition. More contents focus on the handwriting recognition methods based on Markov models, including a recognition framework and techniques within this framework. … this book gives an introduction for researchers on handwriting recognition. I think readers can get some useful information from it.” (Longlong Ma, IAPR Newsletter, Vol. 35 (2), April, 2013)


Table of contents (6 chapters)

  • Introduction

    Plötz, Thomas (et al.)

    Pages 1-8

  • General Architecture

    Plötz, Thomas (et al.)

    Pages 9-17

  • Markov Model Concepts: The Essence

    Plötz, Thomas (et al.)

    Pages 19-26

  • Markov Model Based Handwriting Recognition

    Plötz, Thomas (et al.)

    Pages 27-45

  • Recognition Systems for Practical Applications

    Plötz, Thomas (et al.)

    Pages 47-66

Buy this book

eBook $29.99
price for USA
  • ISBN 978-1-4471-2188-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $39.95
price for USA
  • ISBN 978-1-4471-2187-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Markov Models for Handwriting Recognition
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2011
Publisher
Springer-Verlag London
Copyright Holder
Thomas Plötz
eBook ISBN
978-1-4471-2188-6
DOI
10.1007/978-1-4471-2188-6
Softcover ISBN
978-1-4471-2187-9
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VI, 78
Number of Illustrations and Tables
5 b/w illustrations
Topics