IDEAS home Printed from https://ideas.repec.org/a/zib/zbnaem/v3y2019i1p23-25.html
   My bibliography  Save this article

An Image-Based Captcha System Using Click

Author

Listed:
  • Farah Ruzanna Ridzuan

    (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)

  • Hairulnizam Mahdin

    (Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)

  • Shahreen Kasim

    (Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia)

  • Mohd Sanusi Azmi

    (Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia)

Abstract

CAPTCHA stand for “Completely Automated Public Turing test to tell Computers and Humans Apart”. It is a technique of testing where only human can solve it and computer-generated system (bots) could not get through it. In this paper, a new type CAPTCHA system is proposed. The proposed scheme named ClickShape, developed by using a technique based on image-based CAPTCHA. ClickShape will ask user to click on the shape displayed by the system. It is quite similar to image-based CAPTCHA where user have to choose any specific image, for example image of a signboard. As for this captcha image of a shape is easier to be recognize by human. This type of CAPTCHA had developed by using HTML, JavaScript, PHP and Cascading Style Sheets (CSS).

Suggested Citation

  • Farah Ruzanna Ridzuan & Hairulnizam Mahdin & Shahreen Kasim & Mohd Sanusi Azmi, 2019. "An Image-Based Captcha System Using Click," Acta Electronica Malaysia (AEM), Zibeline International Publishing, vol. 3(1), pages 23-25, March.
    • Handle: RePEc:zib:zbnaem:v:3:y:2019:i:1:p:23-25
    DOI: 10.26480/aem.01.2019.23.25
    as

    Download full text from publisher

    File URL: https://www.actaelectronicamalaysia.com/download/7363/
    Download Restriction: no
    File URL: https://libkey.io/10.26480/aem.01.2019.23.25?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    CAPTCHA; bots; image; system;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbnaem:v:3:y:2019:i:1:p:23-25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: https://www.actaelectronicamalaysia.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.