EAN: 9781447121879

SPRINGERBRIEFS IN COMPUTER SCIENCE MARKOV MOD...

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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