IMAGINATION: A robust image-based CAPTCHA generation system

Ritendra Datta; Jia Li; James Z. Wang

doi:10.1145/1101149.1101218

IMAGINATION: A robust image-based CAPTCHA generation system

Ritendra Datta, Jia Li, James Z. Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

115 Scopus citations

Abstract

We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.

Original language	English (US)
Title of host publication	Proceedings of the 13th ACM International Conference on Multimedia, MM 2005
Pages	331-334
Number of pages	4
DOIs	https://doi.org/10.1145/1101149.1101218
State	Published - 2005
Event	13th ACM International Conference on Multimedia, MM 2005 - Singapore, Singapore Duration: Nov 6 2005 → Nov 11 2005

Publication series

Name	Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

Other

Other	13th ACM International Conference on Multimedia, MM 2005
Country/Territory	Singapore
City	Singapore
Period	11/6/05 → 11/11/05

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1145/1101149.1101218

Cite this

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title = "IMAGINATION: A robust image-based CAPTCHA generation system",

abstract = "We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.",

author = "Ritendra Datta and Jia Li and Wang, {James Z.}",

year = "2005",

doi = "10.1145/1101149.1101218",

language = "English (US)",

isbn = "1595930442",

series = "Proceedings of the 13th ACM International Conference on Multimedia, MM 2005",

pages = "331--334",

booktitle = "Proceedings of the 13th ACM International Conference on Multimedia, MM 2005",

note = "13th ACM International Conference on Multimedia, MM 2005 ; Conference date: 06-11-2005 Through 11-11-2005",

}

Datta, R, Li, J & Wang, JZ 2005, IMAGINATION: A robust image-based CAPTCHA generation system. in Proceedings of the 13th ACM International Conference on Multimedia, MM 2005. Proceedings of the 13th ACM International Conference on Multimedia, MM 2005, pp. 331-334, 13th ACM International Conference on Multimedia, MM 2005, Singapore, Singapore, 11/6/05. https://doi.org/10.1145/1101149.1101218

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AU - Datta, Ritendra

AU - Li, Jia

AU - Wang, James Z.

PY - 2005

Y1 - 2005

N2 - We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.

AB - We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.

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SN - 9781595930446

T3 - Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

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BT - Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

Y2 - 6 November 2005 through 11 November 2005

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IMAGINATION: A robust image-based CAPTCHA generation system

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