research-article

A Kind of De-noising and Segmentation Method for Hollow CAPTCHAs with Noise Arcs

Authors:

Zhao Wang,

Yuan XiAuthors Info & Claims

ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and Computing

Pages 68 - 72

https://doi.org/10.1145/3033288.3033353

Published: 17 December 2016 Publication History

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Abstract

While many text-based CAPTCHA schemes have been broken, hollow CAPTCHAs as a new technology have been used by many websites. The generation method of currently used hollow CAPTCHAs is investigated, we found there is color difference between the boundary of characters contour lines and noise arcs. An algorithm of noise arcs removal to deal with this vulnerability is proposed. Furthermore, a de-noising and segmentation scheme for hollow CAPTCHAs with noise arcs is presented. The scheme is verified by the real CAPTCHA data from the website Sina Weibo. The success segmentation rate is 77%. Finally, some advice is given to improve the design of hollow CAPTCHA.

References

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ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and Computing

December 2016

343 pages

ISBN:9781450347938

DOI:10.1145/3033288

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Association for Computing Machinery

New York, NY, United States

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Published: 17 December 2016

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National Natural Science Foundation of China

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ICNCC '16

ICNCC '16: Fifth International Conference on Network, Communication and Computing

December 17 - 21, 2016

Kyoto, Japan

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Defeating line-noise CAPTCHAs with multiple quadratic snakes

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