Japanese / English

Detail of Publication

Text Language English
Authors Marcus Liwicki, Yoshida Akira, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi and Koichi Kise
Title Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen
Journal Proc. 11th International Conference on Document Analysis and Recognition (ICDAR 2011)
Pages pp.1384-1388
Reviewed or not Reviewed
Month & Year September 2011
Abstract In this paper we propose a complete system for online stroke recovery from offline data. The key idea of our approach is to use a novel pen device which is able to embed meta information into the ink during writing the strokes. This pen-device overcomes the need to get access to any memory on the pen when trying to recover the information, which is especially useful in multi-writer or multi-pen scenarios. The actual data-embedding is achieved by an additional inkdot sequence along a handwritten pattern during writing. We design the ink-dot sequence in such a way that it is possible to retrieve the writing direction from a scanned image. Furthermore, we propose novel processing steps in order to retrieve the original writing direction and finally the embedded data. In our experiments we show that we can reliably recover the writing direction of various patterns. Our system is able to determine the writing direction of straight lines, simple patterns with crossings (e.g., “x” and “ll”), and even more complex patterns like handwritten words and symbols.
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