Presentation 2011-09-22
Data Embedding in Printed Image and Its Detection for Information Retrieval by Mobile Devices Considering Increase of Embedding Data
Hiroshi KUDO, Mutsuji MUNEYASU, Kimitoshi TAMAKI, Yoshiko HANADA,
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Abstract(in English) In this paper, we propose an improvement of the data embedding and extracting method for the printed image. The proposed method can increase an amount of the embedding data. In the conventional method, the amount of the data which can be embedded in the printed image has been only 120 bits. This paper proposes two methods ; one is the method which increases the number of blocks and another is the method which increases the number of codes in each block. By the experiment, it is indicated that the latter is superior to the former. In the latter method, we can increase the detection rate by determining the data bit based on the correlation with the embedding codes. By using the proposed method, 192 bits can be embedded in the printed image and we can achieve 90% of average detection rate.
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Keyword(in English) data embedding / printed image / mobile device / amount of data / code grouping method
Paper # SIS2011-32
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Committee SIS
Conference Date 2011/9/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data Embedding in Printed Image and Its Detection for Information Retrieval by Mobile Devices Considering Increase of Embedding Data
Sub Title (in English)
Keyword(1) data embedding
Keyword(2) printed image
Keyword(3) mobile device
Keyword(4) amount of data
Keyword(5) code grouping method
1st Author's Name Hiroshi KUDO
1st Author's Affiliation Faculty of Engineering Science, Kansai University()
2nd Author's Name Mutsuji MUNEYASU
2nd Author's Affiliation Faculty of Engineering Science, Kansai University
3rd Author's Name Kimitoshi TAMAKI
3rd Author's Affiliation Faculty of Engineering Science, Kansai University
4th Author's Name Yoshiko HANADA
4th Author's Affiliation Faculty of Engineering Science, Kansai University
Date 2011-09-22
Paper # SIS2011-32
Volume (vol) vol.111
Number (no) 210
Page pp.pp.-
#Pages 6
Date of Issue