A captcha based on the Human Visual Systems masking characteristics

Rony Ferzli, Rida Bazzi, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

In this paper, a CAPTCHA is presented based on the masking characteristics of the Human Visual System (HVS). Knowing that noise can be masked by high activity regions and showing that edges can be masked by noise for a human observer while still being detected by machines, the suggested CAPTCHA is composed of English alphabets that are picked randomly and written with a combination of texture and edges with added noise such as to deceive the machine by randomly changing the visibility of characters for humans. The proposed CAPTCHA is highly legible and robust to brute-force attacks and sophisticated Object Character Recognition (OCR) segmentation algorithms.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages517-520
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: Jul 9 2006Jul 12 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Other

Other2006 IEEE International Conference on Multimedia and Expo, ICME 2006
CountryCanada
CityToronto, ON
Period7/9/067/12/06

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ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

Cite this

Ferzli, R., Bazzi, R., & Karam, L. (2006). A captcha based on the Human Visual Systems masking characteristics. In 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings (pp. 517-520). [4036650] (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006). https://doi.org/10.1109/ICME.2006.262439