• DocumentCode
    2295740
  • Title

    Binary Documents Recovery Based on Skeleton Extraction

  • Author

    Lin, Chu-Hsing ; Liu, Jung-Chun ; Cheng, Lun-Yuen ; Chung, Jung-Jung

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Tunghai Univ., Taichung, Taiwan
  • fYear
    2009
  • fDate
    4-6 June 2009
  • Firstpage
    164
  • Lastpage
    167
  • Abstract
    In the ubiquitous computing environment, digital media is widespread fast and interweaving into our everyday lives. As an effective method to achieve copyright protection of digital media, digital watermarking technology has been widely used in multimedia, such as images, videos, and audios, and other areas such as binary documents, which has been explored extensively in recent years. In this paper, we propose a new method to protect and recover binary document images from tampering. Black skeletons are calculated and then information is embedded in the host file. The embedded information can be extracted from the embedded file later to compare with the original black skeletons for file verification. The experimental results show that our proposed method is effective in detecting locations of tampered data and recovering binary document images.
  • Keywords
    document image processing; feature extraction; image thinning; multimedia computing; ubiquitous computing; watermarking; binary document image recovery; black skeletons; copyright protection; digital media; digital watermarking technology; file verification; skeleton extraction; tamper detection; ubiquitous computing environment; Computer science; Cryptography; Data mining; Embedded computing; Multimedia computing; Protection; Skeleton; Steganography; Ubiquitous computing; Watermarking; Binary document images; Black skeleton; File integrity; Tamper detection; Ubiquitous computing; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3658-3
  • Type

    conf

  • DOI
    10.1109/MUE.2009.38
  • Filename
    5319027