Apress Windows 10 Release Sale

Markov Models for Handwriting Recognition

By Thomas Plötz , Gernot A. Fink

  • eBook Price: $29.95
Buy eBook Buy Print Book

Markov Models for Handwriting Recognition Cover Image

  • Add to Wishlist
  • ISBN13: 978-1-4471-2187-9
  • 84 Pages
  • User Level: Science
  • Publication Date: February 2, 2012
  • Available eBook Formats: PDF

Related Titles

  • Information Systems and Neuroscience
  • BPM - Driving Innovation in a Digital World
  • Data-Driven Process Discovery and Analysis
  • Physical Asset Management
  • Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII
  • UML @ Classroom
  • AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
  • Computational Color Imaging
  • Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
  • Non-Linear Finite Element Analysis in Structural Mechanics
Full Description
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.
Table of Contents

Table of Contents

  1. Introduction.
  2. General Architecture.
  3. Markov Model Concepts: The Essence.
  4. Markov Model Based Handwriting Recognition.
  5. Recognition Systems for Practical Applications.
  6. Discussion.
Errata

Please Login to submit errata.

No errata are currently published

Best-Sellers

    1. Pro SQL Server Internals

      $41.99

      View Details

    2. Beginning 3D Game Development with Unity 4

      $34.99

      View Details

    3. Beginning iPhone Development with Swift

      $31.99

      View Details

    4. Financial Modeling for Business Owners and Entrepreneurs

      $31.99

      View Details