• DocumentCode
    3246505
  • Title

    An improved maze algorithm in contour extraction of CAPTCHAs

  • Author

    Jialin Liu ; Kaifa Liang ; Shuangping Chen

  • Author_Institution
    Zhuhai Coll., Jinan Univ., Jinan, China
  • fYear
    2010
  • fDate
    20-21 Oct. 2010
  • Firstpage
    16
  • Lastpage
    19
  • Abstract
    An improved maze algorithm has been first advanced, combining with the rotation invariant theory, to extract the contour of CAPTCHAs which are slant and have random positions. First, take the CAPTCHAs as a maze, in which white pixels represents a potential route; Second, search towards “left-down” in the predefined direction and record the pixels which have been checked; Finally, get the clockwise rotate projection of CAPTCHAs within the paths´ closed region in order to obtain the CAPTCHAs´ contour features which are immune to rotation, random position, slant and other factors. Experiments have shown that the algorithm has better performance in dealing with CAPTCHAs which are slant and have random positions, its sufficient extraction of contour features reduces errors and improves recognition rate.
  • Keywords
    edge detection; CAPTCHA; clockwise rotate projection; contour extraction; maze algorithm; rotation invariant theory; Image segmentation; CAPTCHAs; Contour; Maze Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8004-3
  • Type

    conf

  • DOI
    10.1109/KAM.2010.5646230
  • Filename
    5646230