Machine-Readable Handwriting Patterns by Data-Embedding Pen

نویسندگان

  • Kazuhiro TANAKA
  • Seiichi UCHIDA
  • Masakazu IWAMURA
  • Shinichiro OMACHI
  • Koichi KISE
چکیده

In order to use handwritings as a universal man-machine interface, we assume a pen device — data-embedding pen — which can embed digital data into a handwriting by invisible ink in a real-time manner. This paper discusses the system design, application, and required technologies around the data-embedding pen. Especially, a novel stroke recovery algorithm is proposed for retrieving the embedded data along writing order. In the algorithm, embedded data is used to help the recovery. A simulation experiment showed that the algorithm can attain high accuracy on the stroke recovery and the data retrieval.

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تاریخ انتشار 2006