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Data Embedding and Extraction Method for Printed Images by Log Polar Mapping

  • Kimitoshi Tamaki
  • Mitsuji Muneyasu
  • Yoshiko Hanada
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)

Abstract

Data extraction methods from data embedding printed images by capturing devices like scanners or mobile cameras have attracted much attention. In this technique, consideration for geometrical deformation, especially rotation and scaling, in the data extraction process is essential. This paper proposes a new correction algorithm without remarkable markers. This method exploits the log polar mapping (LPM) to detect and correct the distortion. The proposed method estimates the rotational angle and scaling factor from the amount of shift in the LPM domain. Therefore no data embedding or adding for correcting the deformation is required and the data embedded image with high quality is obtained. An image clipping technique suitable for the proposed method is also developed. From the experimental results, the effectiveness of the proposed method is shown.

Keywords

Discrete Fourier Transform Digital Watermark Reference Mark Orthogonal Coordinate System Rotation Correction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kimitoshi Tamaki
    • 1
  • Mitsuji Muneyasu
    • 1
  • Yoshiko Hanada
    • 1
  1. 1.Faculty of Engineering ScienceKansai UniversitySuitaJapan

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