• DocumentCode
    1783793
  • Title

    A Study on Captcha Recognition

  • Author

    Chii-Jen Chen ; You Wei ; Wen-Pinn Fang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Yuanpei Univ., Hsinchu, Taiwan
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    Through most of captcha images all said that their system can defense the external attacking, many corresponding researches are still presented to examine the captcha systems in the current internet platforms. The safety of captcha image can be decided by the complexity of imaging structures. Therefore, different captcha recognition methods are proposed to apply into different captcha images. In this study, there are many noisy lines and points in our testing captcha cases. We proposed the probability pattern framework to recognize the target numbers in the captcha images. In the experiment, the quantitative assessment shows that the proposed recognition method achieved an average of 81.05% for more than two thousand captcha cases.
  • Keywords
    Internet; image recognition; probability; security of data; Internet platforms; captcha images; captcha recognition; captcha systems; probability pattern framework; Adaptive filters; CAPTCHAs; Image recognition; Noise; Pattern recognition; Security; captcha; image processing; probability; recognition; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.105
  • Filename
    6998351