Keywords Recognition of Handwritten Character String on Whiteboard Using Word Dictionary for e-Learning

  • Authors:

  • Daisuke Yoshida;Shinji Tsuruoka;Hiroharu Kawanaka;Tsuyoshi Shinogi

  • Affiliations:

  • Mie University, Japan;Mie University, Japan;Mie University, Japan;Mie University, Japan

  • Venue:
  • ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01
  • Year:
  • 2006

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Abstract

We are developing an individual e-Learning system using two communication cameras and a pen capture tool on whiteboard for university students. In this research, keywords recognition for the written characters by the lecturer on the whiteboard is important for indexing the scene database. We are considering the handwritten keyword recognition. The whiteboard image captured by the pen capture tool is recognized to character strings and the string corresponds to keywords in a textbook to link to the explanation of the keyword in textbook. One of important problems in our learning system is that the accuracy of handwritten character recognition on whiteboard is not enough for keyword recognition. In this paper, we propose the new matching method of high accuracy keyword recognition using word dictionary and the distance of character recognition. We confirmed the usefulness using word dictionary for handwritten keyword recognition on whiteboard.