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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 re-designed 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%.
Koichi KISE
Osaka Prefecture University
Shinichiro OMACHI
Tohoku University
Seiichi UCHIDA
Kyushu University
Masakazu IWAMURA
Osaka Prefecture University
Marcus LIWICKI
DFKI
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Koichi KISE, Shinichiro OMACHI, Seiichi UCHIDA, Masakazu IWAMURA, Marcus LIWICKI, "Data Embedding into Characters" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 1, pp. 10-20, January 2015, doi: 10.1587/transinf.2014MUI0002.
Abstract: 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 re-designed 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%.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2014MUI0002/_p
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@ARTICLE{e98-d_1_10,
author={Koichi KISE, Shinichiro OMACHI, Seiichi UCHIDA, Masakazu IWAMURA, Marcus LIWICKI, },
journal={IEICE TRANSACTIONS on Information},
title={Data Embedding into Characters},
year={2015},
volume={E98-D},
number={1},
pages={10-20},
abstract={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 re-designed 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%.},
keywords={},
doi={10.1587/transinf.2014MUI0002},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Data Embedding into Characters
T2 - IEICE TRANSACTIONS on Information
SP - 10
EP - 20
AU - Koichi KISE
AU - Shinichiro OMACHI
AU - Seiichi UCHIDA
AU - Masakazu IWAMURA
AU - Marcus LIWICKI
PY - 2015
DO - 10.1587/transinf.2014MUI0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2015
AB - 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 re-designed 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%.
ER -