Description: Markov Models for Handwriting Recognition, Paperback by Plotz, Thomas; Fink, Gernot A., ISBN 1447121872, ISBN-13 9781447121879, Like New Used, Free shipping in the US
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.
Price: 67.02 USD
Location: Jessup, Maryland
End Time: 2024-12-21T14:24:17.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Markov Models for Handwriting Recognition
Number of Pages: VI, 78 Pages
Language: English
Publication Name: Markov Models for Handwriting Recognition
Publisher: Springer London, The Limited
Subject: Handwriting, Probability & Statistics / Stochastic Processes, Computer Vision & Pattern Recognition
Publication Year: 2011
Item Weight: 16 Oz
Type: Textbook
Author: Thomas Plötz, Gernot A. Fink
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Language Arts & Disciplines
Item Width: 6.1 in
Series: Springerbriefs in Computer Science Ser.
Format: Trade Paperback
