Publikation
Data-embedding pen --- augmenting ink strokes with meta-information
Marcus Liwicki; Seiichi Uchida; Masakazu Iwamura; Shinichiro Omachi; Koichi Kise
In: Proceedings of the 9th International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-10), June 9-11, Boston, MA, Germany, Pages 43-52, ACM, 2010.
Zusammenfassung
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.