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.
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"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)