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- Several attempts in research of CAPTCHAs are to design and develop different kinds of CAPTCHAs in order to make them more deployable for computer system protection from internet bots. Text-based CAPTCHAs are commonly used in practice. They have been increasingly more distorted and camouflaged due to the increase of advanced developed bots. However, the increasing distortion of CAPTCHA text makes it difficult for human to decode and then take more time to get into systems. This research was to proposed new image-based CAPTCHAs which was developed base upon human visual perception so that the CAPTCHA is more usable to humans, but hard to decipher for auto-bots. The proposed image-based CAPTHCAs were generated based upon three factors to make the CAPTCHAs incomplete. Those factors are the two partial occlusion methods (constant and random occlusion of images), the two levels of image occlusion (30% and 45%), and the three different number of small frame as interference in an image (no frame, two frames and three frames). The proposed CAPTCHAs were evaluated by accuracy rate (pass rate) together with user satisfaction. A within-Subject design experiment was run with 40 participants. The results of the experiment indicated that the participants were satisfied with the image-based CAPTCHAs more than text-based CAPTCHAs at the 95% significant level. And importantly, the accuracy rate of image -based CAPTHCAs was significantly higher than text-based. The response time will be different depending on the completion of image CAPTCHAs. The most usable image-based CAPTCHAs should be made incomplete by constant occlusion of 30% of original picture, and can be interfered with zero or two small frames.
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2. H.Gao,D.Yao,H.Liu,X.Liu,L.Wang,and L.Wang "A novel imaged based captcha using jigsaw puzzle," in IEEE 2010 International Conference on Computational Science and Engineering, pp.351-356, DEC.2010.
3. J.Yan,and Ahmad, " Usability of CAPTCHAs or usability issues in CAPTCHA design ," in SOUPS '08 Proceedings of the 4th symposium on Usable privacy and security,pp. 44-52,2008.
4. R.Gossweiler,M.Kamvar, and S.Baluja, "A captcha based on image orientation,"in International World Wide Web Conference Committee (IW3C2), 2009.
5. W.Liao,"A captcha mechanism by exchanging image blocks," in Pattern Recognition, 2006. ICPR 2006. 18th International Conference,pp.1179-1183,2006.
6. W.Liao and C.Chang," Embedding information within dynamic visual patterns,"in Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference,pp.895-898, Jun.2004.
7. L.von Ahn,"CAPTCHA:telling humans and computers apart Automatically" from http://www.captcha.net/J.Holman,J.Lazer,J.Feng.andJ.D'Arcy,"Developing usable captchas for blind users,"in Assets '07 Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility, pp.245-246,2007
9. A.Vetro, "Mobile visual search:Architectures, technologies, and the emerging mpeg standard",in IEEE MultiMedia, pp.86-94, Mar.2011.
10]J.Wright,"Search by text, voice, or image" from http://insidesearch.blogspot.com/2011/06/search-by-text-voice-or-image.html
11. Solso, Robert L, Cognitive psychology, 2d ed. Boston.Allyn and Bacon, 1988.
12. สุมาลี ชัยเจริญ. เทคโนโลยีการศึกษา: หลักการ ทฤษฎี สู่การปฏิบัติ.ขอนแก่น: คลังนานา,2551.
13. รัจรี นพเกตุ.จิตวิทยาการรับรู้.พิมพ์ครั้งที่ 1.กรุงเทพฯ : ประกายพรึก, 2540.