Data Embedding into Characters

نویسندگان

  • Koichi Kise
  • Shinichiro Omachi
  • Seiichi Uchida
  • Masakazu Iwamura
  • Marcus Liwicki
چکیده

This paper reviews several trials of re-designing conventional communication medium, i.e., characters, for enriching their functions by using data-embedding techniques. For example, characters are redesigned to have better machine-readability even under various geometric distortions by embedding a geometric invariant into each character image to represent class label of the character. Another example is to embed various information into handwriting trajectory by using a new pen device, called a data-embedding pen. An experimental result showed that we can embed 32-bit information into a handwritten line of 5 cm length by using the pen device. In addition to those applications, we also discuss the relationship between data-embedding and pattern recognition in a theoretical point of view. Several theories tell that if we have appropriate supplementary information by data-embedding, we can enhance pattern recognition performance up to 100%. key words: data embedding, character recognition, handwriting, supplementary information, character design, geometric invariant, pen device

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عنوان ژورنال:
  • IEICE Transactions

دوره 98-D  شماره 

صفحات  -

تاریخ انتشار 2015