Recognition Of Whiteboard Notes: Online, Offline And Combination

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A01=Horst Bunke
A01=Marcus Liwicki
Author_Horst Bunke
Author_Marcus Liwicki
Category=UY
Combination
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Hidden Markov Models
Multiple Classifier Systems
Offline Handwriting Recognition
Online Handwriting Recognition
Whiteboard

Product details

  • ISBN 9789812814531
  • Publication Date: 02 Oct 2008
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
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This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting.The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system. The experimental results on the test set show a highly significant improvement of the recognition performance to more than 86%.

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