• DocumentCode
    1659946
  • Title

    Signal rich art image — A new tool for automatic identification and data capture applications using mobile phones

  • Author

    Ya-Lin Lee ; Wen-Hsiang Tsai

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • Firstpage
    1942
  • Lastpage
    1946
  • Abstract
    A new tool, called signal-rich-art image, for automatic identification and data capture applications is proposed, which is created from an artistic target image for use as a carrier of a given message. The created image is visually similar to the target image, achieving the effect of so-called signal rich art. With its function similar to those of barcodes or QR codes, such a type of image is produced by fragmenting the composing characters of the message and injecting them into the target image by a novel image-block luminance modulation scheme. Skillful techniques are also proposed for message extraction from a mobile phone-captured version of the signal-rich-art image printed on paper or displayed on a screen. Good experimental results show the feasibility of the proposed method.
  • Keywords
    computer vision; mobile computing; artistic target image; automatic identification; data capture; image-block luminance modulation scheme; message extraction; mobile phone-captured version; signal rich art image; Accuracy; Art; Modulation; Noise measurement; Optical character recognition software; Transforms; Visualization; QR codes; automatic identification and data capture; barcodes; signal rich art; signal rich art image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637992
  • Filename
    6637992