VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines

Seyed Mohammad Reza Saadat Beheshti, Panos Liatsis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Since demand for using online services are growing rapidly and therefore there are more number of users who prefer to use online based services such as mobile banking, email accounts, online socializing, etc. for their day-to-day needs. Therefore, the number of online threads and automated computer attacks (known as bots) which try to abuse the service provides are increasing as well. For this reason, CAPTCHA challenge was introduced in order to distinguish between real human users and automated computer bots. In this paper, we have proposed a novel human-machine separation technique based on the ability of the human's visual system to remember and superimpose all the seen frames also known as Persistence of Vision. Since this ability is uniquely dedicated to the human's visual system therefore, it is believed to be resistant against different computer recognition techniques.

Original languageBritish English
Title of host publication2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015
EditorsShahjahan Miah, Alena Uus, Panos Liatsis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages295-298
Number of pages4
ISBN (Electronic)9781467383530
DOIs
StatePublished - 30 Oct 2015
Event22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015 - London, United Kingdom
Duration: 10 Sep 201512 Sep 2015

Publication series

Name2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015

Conference

Conference22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015
Country/TerritoryUnited Kingdom
CityLondon
Period10/09/1512/09/15

Keywords

  • CAPTCHA
  • Persistence of Vision
  • Temporal Integration
  • Trans-Saccadic Memory
  • Visual Integration

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