Data-embedding pen-augmenting ink strokes with meta-information

Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper we present the first operational version of the data-embedding pen. During writing a pattern, this pen produces an additional ink-dot sequence along the ink stroke of the pattern. The ink-dot sequence represents, for exam-ple, meta-information (such as the writer's name and the date of writing) and thus drastically increases the value of the handwriting on a physical paper. Since the information is placed on the paper, it can be extracted just by scanning or photographing the paper. There is no need to get access to any memory on the pen to recover the information. This is useful especially in multi-writer or multi-pen scenarios. The experiments using an encoding scheme and a decoding algorithm showed very promising results. For example, it was proved that we can embed 28 or more bits of informa-tion on simple handwritten patterns and decode them with a high reliability.

Original languageEnglish
Title of host publicationProceedings of the 9th IAPR International Workshop on Document Analysis Systems, DAS '10
Pages43-51
Number of pages9
DOIs
Publication statusPublished - Aug 2 2010
Event2010 IAPR Workshop on Document Analysis Systems, DAS 2010 - Boston, MA, United States
Duration: Jun 9 2010Jun 11 2010

Publication series

NameACM International Conference Proceeding Series

Other

Other2010 IAPR Workshop on Document Analysis Systems, DAS 2010
CountryUnited States
CityBoston, MA
Period6/9/106/11/10

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Liwicki, M., Uchida, S., Iwamura, M., Omachi, S., & Kise, K. (2010). Data-embedding pen-augmenting ink strokes with meta-information. In Proceedings of the 9th IAPR International Workshop on Document Analysis Systems, DAS '10 (pp. 43-51). (ACM International Conference Proceeding Series). https://doi.org/10.1145/1815330.1815336