Handwriting on Paper as a Cybermedium

In this paper, we report recent work of the data-embedding pen, which adds an ink-dot sequence along a handwritten pattern during writing. The ink-dot sequence represents some information, such as writer’s name, date of writing, and URL. This information drastically increases the value of handwriting on a paper. The embedded information can be extracted from the handwritten pattern by image processing techniques and a stroke recovery technique. Consequently, we can augment the handwritten pattern by the data-embedding pen to carry arbitrary information.

Authors and Affiliations

1. Kyushu University, Japan

   Akira Yoshida & Seiichi Uchida

2. DFKI, Germany

   Marcus Liwichi

3. Osaka Prefecture University, Japan

   Masakazu Iwamura & Koichi Kise

4. Tohoku University, Japan

   Shinichiro Omachi

Editors and Affiliations

1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

   Andreas König

2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

   Andreas Dengel

3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

   Knut Hinkelmann

4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai, Osaka, Japan

   Koichi Kise

5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

   Robert J. Howlett

6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

   Lakhmi C. Jain

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