• DocumentCode
    245482
  • Title

    Image segmentation methods for sanitizable signatures

  • Author

    Jing Wu ; Oouti, Yuma ; Araki, Shunsuke ; Kakizaki, Ken´ichi

  • Author_Institution
    Kyushu Inst. of Technol., Fukuoka, Japan
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    51
  • Lastpage
    52
  • Abstract
    In the presented paper, we give two feature-based segmentation methods of a digital image such as a photo or a scanned document for sanitizable signatures. Since the image must be partitioned into multiple segments before one is signed, we focus on features such as faces in photos and characters in scanned documents. Our methods divide the photo image into segments with the same pixel value and the scanned document into segments with a character. We also proposed a sanitized signature scheme that can detect forged segments if the signature is invalid.
  • Keywords
    image scanners; image segmentation; digital image method; document scanning; feature-based image segmentation method; forged segment detection; sanitized signature scheme; Digital images; Digital signatures; Equations; Image color analysis; Image segmentation; Mathematical model; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2014.6904096
  • Filename
    6904096