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PiCAPTion: Picture CAPTCHAs for Internet Authentication
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 114 - Number 10 |
| Year of Publication: 2015 |
| Authors: Apoorva Rajendra Angre, Monal Dilip Kapadia, Meena Ugale |
10.5120/20012-1976
|
Apoorva Rajendra Angre, Monal Dilip Kapadia, Meena Ugale . PiCAPTion: Picture CAPTCHAs for Internet Authentication. International Journal of Computer Applications. 114, 10 ( March 2015), 6-9. DOI=10.5120/20012-1976
Abstract
CAPTCHAs are tests that distinguish humans from software robots in an online environment. The most commonly encountered CAPTCHAs today take the form of a garbled string of words or characters. Unfortunately, existing text based CAPTCHAs suffer from several automated attacks. Thus, with the demonstration that character recognition CAPTCHAs are vulnerable to computer vision based attacks, this paper proposes alternatives to the traditional 'Text based CAPTCHAs', in the form of 'Image based CAPTCHAS', which require users to identify simple objects in the images presented, the argument is that object recognition is typically considered a more challenging problem than character recognition, due to the limited domain of characters and digits in the English alphabet.
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