• DocumentCode
    2013112
  • Title

    A Multi-Stage Strategy to Perspective Rectification for Mobile Phone Camera-Based Document Images

  • Author

    Yin, Xu-Cheng ; Sun, Jun ; Naoi, Satoshi ; Fujimoto, Katsuhito ; Takebe, Hiroaki ; Fujii, Yusaku ; Kurokawa, Koji

  • Author_Institution
    Fujitsu R&D Co. Ltd, Beijing
  • Volume
    2
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    574
  • Lastpage
    578
  • Abstract
    Document images captured by a mobile phone camera often have perspective distortions. Efficiency and accuracy are two important issues in designing a rectification system for such perspective documents. In this paper, we propose a new perspective rectification system based on vanishing point detection. This system achieves both the desired efficiency and accuracy using a multi-stage strategy: at the first stage, document boundaries and straight lines are used to compute vanishing points; at the second stage, text baselines and block aligns are utilized; and at the last stage, character tilt orientations are voted for the vertical vanishing point. A profit function is introduced to evaluate the reliability of detected vanishing points at each stage. If vanishing points at one stage are reliable, then rectification is ended at that stage. Otherwise, our method continues to seek more reliable vanishing points in the next stage. We have tested this method with more than 400 images including paper documents, signboards and posters. The image acceptance rate is more than 98.5% with an average speed of only about 60 ms.
  • Keywords
    document image processing; mobile handsets; rectification; image acceptance rate; mobile phone camera-based document image; multistage strategy; perspective document; perspective rectification system; profit function; vanishing point detection; Digital cameras; Laboratories; Mobile handsets; Performance analysis; Research and development; Robustness; Sun; Testing; Text analysis; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4376980
  • Filename
    4376980