Recognition of whiteboard notes : online, offline and combination

著者

書誌事項

Recognition of whiteboard notes : online, offline and combination

Marcus Liwicki, Horst Bunke

(Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 71)

World Scientific, c2008

  • : hard

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注記

Includes bibliographical references (p. 191-204) and index

内容説明・目次

内容説明

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%.

目次

  • Classification Methods
  • Linguistic Resources and Handwriting Databases
  • Off-Line Approach
  • On-Line Approach
  • Multiple Classifier Combination
  • Writer-Dependent Recognition.

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