Augmented Handwritings by Data-Embedding Pen

LanguageEnglish
TypeProceedings of International Conferences
AuthorsAkira Yoshida, Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise
TitleAugmented Handwritings by Data-Embedding Pen
JournalProceedings of The 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
Pagespp.213-215
LocationFukuoka, Japan
ReviewedReviewed
DateNovember 2010
Research fieldsDocument Image Analysis
KeyYoshida2010_CJKPR (id=1172)

Abstract

In this paper, we propose a data-embedding pen, which adds an ink-dot sequence along a handwritten pattern during writing. The ink-dot sequence represents some meta-information, such as writer’s name, date of writing, and URL. The meta-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.

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