Japanese / English

文献の詳細

論文の言語 英語
著者 Marcus Liwicki, Yoshida Akira, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi and Koichi Kise
論文名 Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen
論文誌名 Proc. 11th International Conference on Document Analysis and Recognition (ICDAR 2011)
ページ pp.1384-1388
査読の有無
年月 2011年9月
要約 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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