Presentation 2014-06-16
A Proposal of Imaged-based CAPTCHA using sophisticated Mental Rotation
Masahiro FUJITA, Yuki IKEYA, Junya KANI, Yuta YONEYAMA, Masakatsu NISHIGAKI,
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Abstract(in English) As one of the advanced Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHAs), the CAPTCHAs using mental rotation has been proposed. Mental rotation is an advanced human-cognitive-processing ability to rotate mental representations of one single 2D/3D object. However, as have already been reported, the mental rotation CAPTCHA can be overcome by pattern matching and/or machine learning. Therefore, we propose to enhance the mental rotation CAPTCHA, which we call "sophisticated mental rotation CAPTCHA". The sophisticated mental rotation CAPTCHA system asks users to click the location on an object, which is corresponding to the position where the marker in another distinct object is located. In this paper, we have developed a prototype system of the CAPTCHA and have examined the effectiveness of the CAPTCHA.
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Keyword(in English) CAPTCHA / Mental Rotation / 3DCG
Paper # BioX2014-2
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Committee BioX
Conference Date 2014/6/9(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of Imaged-based CAPTCHA using sophisticated Mental Rotation
Sub Title (in English)
Keyword(1) CAPTCHA
Keyword(2) Mental Rotation
Keyword(3) 3DCG
1st Author's Name Masahiro FUJITA
1st Author's Affiliation Graduate school of Informatics, Shizuoka University()
2nd Author's Name Yuki IKEYA
2nd Author's Affiliation Graduate school of Informatics, Shizuoka University
3rd Author's Name Junya KANI
3rd Author's Affiliation Graduate school of Informatics, Shizuoka University
4th Author's Name Yuta YONEYAMA
4th Author's Affiliation Graduate school of Informatics, Shizuoka University
5th Author's Name Masakatsu NISHIGAKI
5th Author's Affiliation Graduate school of Informatics, Shizuoka University
Date 2014-06-16
Paper # BioX2014-2
Volume (vol) vol.114
Number (no) 83
Page pp.pp.-
#Pages 6
Date of Issue