A study of Image-based CAPTCHA Application on Mobile Devices

• Main Authors: Jing-Yi Guo, 郭璟逸
• Other Authors: Kuo-Feng Hwang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/r7h5nt

碩士 === 國立臺中科技大學 === 多媒體設計系碩士班 === 103 === CAPTCHA (Completely Automated Public Test to tell Computers and Humans Apart) is a type of public software to automatically determine whether the web users are humans or robots. It is mainly used for blocking the automated programs(Bots) attacks to the services on the Internet. Currently, most of CAPTCHAs are text-based. The drawback is that with the progress and enhancement of Optical Character Recognition (OCR, Optical Character Recognition) technique, the safety of these kinds of CAPTCHAs drops gradually. More recently, many CAPTCHA related researches have been shifted toward the non-textual paradigm such as paradigms that based on image or voice or mixed approaches. With the popularity of mobile devices, many people are able to link to various web sites at any place. However, the mobile devices have the problem of difficulty in entering textual data due to the relatively smaller screen size. Therefore, this paper explored various ways to exploit image and touch-screen technique and developed an image-based CAPTCHA for using on the mobile device easily. A preliminary users test showed encouraging responses and positive results.