Skip to main content

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anoto, http://www.anoto.co.jp/

  2. Stephens, J.R.D.: Integrated printing/scanning system using invisible ink for document tracking. U. S. Patent, 6644764 (2004)

    Google Scholar 

  3. Suzaki, M., Mitsui, Y., Suto, M.: New alteration detecting technique for printed documents using dot pattern watermarking. In: Proc. SPIE, vol. 5020, pp. 665–676 (2003)

    Google Scholar 

  4. Hecht, D.L.: Printed embedded data graphical user interfaces. IEEE Computer 34(3), 47–55 (2001)

    Article  Google Scholar 

  5. Takimoto, H., Yoshida, A., Mitsukura, Y., Fukumi, M.: Invisible print-type calibration pattern based on human visual perception. In: Proc. ICIP, pp. 2601–2604 (2010)

    Google Scholar 

  6. Uchida, S., Iwamura, M., Omachi, S., Kise, K.: gOCR fonts revisited for camera-based character recognition. In: Proc. ICPR, vol. 2(4), pp. 1134–1137 (2006)

    Google Scholar 

  7. Kato, Y., Yasuhara, M.: Recovery of drawing order from single-stroke handwriting images. IEEE Trans. Pat. Anal. Mach. Intell. 22(9), 938–949 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yoshida, A., Liwichi, M., Uchida, S., Iwamura, M., Omachi, S., Kise, K. (2011). Handwriting on Paper as a Cybermedium. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23866-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23865-9

  • Online ISBN: 978-3-642-23866-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics