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Investigating CAPTCHAs based on visual phenomena

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5727 LNCS(PART 2) 745-748
DOI: 10.1007/978-3-642-03658-3_79
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Abstract

We propose and evaluate several novel types of CAPTCHAs (test to tell computers and humans apart) that exploit characteristics of the human visual system. Perceptions caused by the effect of lightness constancy or grouping phenomena due to transparent motion are hard to emulate on computers and may thus provide novel authentication mechanisms. © 2009 Springer Berlin Heidelberg.

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Naumann, A. B., Franke, T., & Bauckhage, C. (2009). Investigating CAPTCHAs based on visual phenomena. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5727 LNCS, pp. 745–748). https://doi.org/10.1007/978-3-642-03658-3_79

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