Handwriting Recognition : Soft Computing and Probabilistic Approaches /

Handwriting Recognition : Soft Computing and Probabilistic Approaches /

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Bibliographic Details
Author / Creator:Liu, Zhi-Qiang.
Imprint:Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
Description:1 online resource (xv, 230 pages).
Language:English
Series:Studies in Fuzziness and Soft Computing, 1434-9922 ; 133
Studies in fuzziness and soft computing ; 133.
Subject:
Computer science.
Artificial intelligence.
Text processing (Computer science)
Optical pattern recognition.
Mathematics.
Physics.
Engineering.
Artificial intelligence.
Computer science.
Engineering.
Mathematics.
Optical pattern recognition.
Physics.
Text processing (Computer science)
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11079619
Hidden Bibliographic Details
Other authors / contributors:Cai, Jinhai.
Buse, Richard.
ISBN:9783540448501
3540448500
9783642072802
3642072801
3540448500
Summary:This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.
Other form:Print version: 9783642072802

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