Recognition of whiteboard notes : online, offline and combination
Author(s)
Bibliographic Information
Recognition of whiteboard notes : online, offline and combination
(Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 71)
World Scientific, c2008
- : hard
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Note
Includes bibliographical references (p. 191-204) and index
Description and Table of Contents
Description
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%.
Table of Contents
- Classification Methods
- Linguistic Resources and Handwriting Databases
- Off-Line Approach
- On-Line Approach
- Multiple Classifier Combination
- Writer-Dependent Recognition.
by "Nielsen BookData"