Markov Models for Handwriting Recognition

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Synopsis

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.

Book details

Edition:
2011
Series:
SpringerBriefs in Computer Science
Author:
Thomas Plötz, Gernot A. Fink
ISBN:
9781447121886
Related ISBNs:
9781447121879
Publisher:
Springer London
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-12-21
Usage restrictions:
Copyright
Copyright date:
2011
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction