An Image-Based Captcha System Using Click

Farah Ruzanna Ridzuan, Hairulnizam Mahdin (), Shahreen Kasim and Mohd Sanusi Azmi
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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

Acta Electronica Malaysia (AEM), 2019, vol. 3, issue 1, 23-25

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).

Keywords: CAPTCHA; bots; image; system (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaem:v:3:y:2019:i:1:p:23-25

DOI: 10.26480/aem.01.2019.23.25

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