Markov Models for Handwriting Recognition

Nonfiction, Computers, Advanced Computing, Engineering, Optical Data Processing, Computer Vision, General Computing
Cover of the book Markov Models for Handwriting Recognition by Thomas Plötz, Gernot A. Fink, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Thomas Plötz, Gernot A. Fink ISBN: 9781447121886
Publisher: Springer London Publication: February 2, 2012
Imprint: Springer Language: English
Author: Thomas Plötz, Gernot A. Fink
ISBN: 9781447121886
Publisher: Springer London
Publication: February 2, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book Contemporary Interventional Ultrasonography in Urology by Thomas Plötz, Gernot A. Fink
Cover of the book Success in Academic Surgery: Basic Science by Thomas Plötz, Gernot A. Fink
Cover of the book Astronomy with a Budget Telescope by Thomas Plötz, Gernot A. Fink
Cover of the book Rheumatology in Practice by Thomas Plötz, Gernot A. Fink
Cover of the book Herpes Simplex Virus by Thomas Plötz, Gernot A. Fink
Cover of the book Cytopathology by Thomas Plötz, Gernot A. Fink
Cover of the book The Craniosynostoses by Thomas Plötz, Gernot A. Fink
Cover of the book Graph-Based Clustering and Data Visualization Algorithms by Thomas Plötz, Gernot A. Fink
Cover of the book Multiscale Modeling in Biomechanics and Mechanobiology by Thomas Plötz, Gernot A. Fink
Cover of the book One-of-a-Kind Production by Thomas Plötz, Gernot A. Fink
Cover of the book Introduction to Image Processing Using R by Thomas Plötz, Gernot A. Fink
Cover of the book The Art and Science of CCD Astronomy by Thomas Plötz, Gernot A. Fink
Cover of the book Fundamentals of Discrete Math for Computer Science by Thomas Plötz, Gernot A. Fink
Cover of the book Regulation of the Power Sector by Thomas Plötz, Gernot A. Fink
Cover of the book Control and Monitoring of Chemical Batch Reactors by Thomas Plötz, Gernot A. Fink
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy