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Markov Models for Handwriting Recognition

  • Book
  • © 2011

Overview

  • 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

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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About this book

Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains 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, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden Markov models and 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 reviews proposed solutions in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.

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Table of contents (6 chapters)

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)

Authors and Affiliations

  • Culture Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne, United Kingdom

    Thomas Plötz

  • Department of Computer Science, Technische Universität Dortmund, Dortmund, Germany

    Gernot A. Fink

Bibliographic Information

  • Book Title: Markov Models for Handwriting Recognition

  • Authors: Thomas Plötz, Gernot A. Fink

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-2188-6

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Thomas Plötz 2011

  • Softcover ISBN: 978-1-4471-2187-9Published: 10 September 2011

  • eBook ISBN: 978-1-4471-2188-6Published: 02 February 2012

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: VI, 78

  • Number of Illustrations: 5 b/w illustrations

  • Topics: Pattern Recognition

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