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More about Handwriting Recognition

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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Handwriting Recognition
• Author: Z. -Q Liu
• Language: English
• Binding: Hardback
• Number of pages: 230
• EAN: 9783540401773
• ISBN: 3540401776
• ID: 04333537
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 1180 g
• Dimensions: 234 × 156 × 18 mm
• Date of publishing: 21. July 2003

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