FR-CAPTCHA: CAPTCHA based on recognizing human faces.
A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is designed to distinguish humans from machines. Most of the existing tests require reading distorted text embedded in a background image. However, many existing CAPTCHAs are either too difficult for humans due to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3988000?pdf=render |
| _version_ | 1818597530627211264 |
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| author | Gaurav Goswami Brian M Powell Mayank Vatsa Richa Singh Afzel Noore |
| author_facet | Gaurav Goswami Brian M Powell Mayank Vatsa Richa Singh Afzel Noore |
| author_sort | Gaurav Goswami |
| collection | DOAJ |
| description | A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is designed to distinguish humans from machines. Most of the existing tests require reading distorted text embedded in a background image. However, many existing CAPTCHAs are either too difficult for humans due to excessive distortions or are trivial for automated algorithms to solve. These CAPTCHAs also suffer from inherent language as well as alphabet dependencies and are not equally convenient for people of different demographics. Therefore, there is a need to devise other Turing tests which can mitigate these challenges. One such test is matching two faces to establish if they belong to the same individual or not. Utilizing face recognition as the Turing test, we propose FR-CAPTCHA based on finding matching pairs of human faces in an image. We observe that, compared to existing implementations, FR-CAPTCHA achieves a human accuracy of 94% and is robust against automated attacks. |
| first_indexed | 2024-12-16T11:49:16Z |
| format | Article |
| id | doaj.art-b42c4c867aaa448084c4e669d1c1ea75 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T11:49:16Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b42c4c867aaa448084c4e669d1c1ea752022-12-21T22:32:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9170810.1371/journal.pone.0091708FR-CAPTCHA: CAPTCHA based on recognizing human faces.Gaurav GoswamiBrian M PowellMayank VatsaRicha SinghAfzel NooreA Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is designed to distinguish humans from machines. Most of the existing tests require reading distorted text embedded in a background image. However, many existing CAPTCHAs are either too difficult for humans due to excessive distortions or are trivial for automated algorithms to solve. These CAPTCHAs also suffer from inherent language as well as alphabet dependencies and are not equally convenient for people of different demographics. Therefore, there is a need to devise other Turing tests which can mitigate these challenges. One such test is matching two faces to establish if they belong to the same individual or not. Utilizing face recognition as the Turing test, we propose FR-CAPTCHA based on finding matching pairs of human faces in an image. We observe that, compared to existing implementations, FR-CAPTCHA achieves a human accuracy of 94% and is robust against automated attacks.http://europepmc.org/articles/PMC3988000?pdf=render |
| spellingShingle | Gaurav Goswami Brian M Powell Mayank Vatsa Richa Singh Afzel Noore FR-CAPTCHA: CAPTCHA based on recognizing human faces. PLoS ONE |
| title | FR-CAPTCHA: CAPTCHA based on recognizing human faces. |
| title_full | FR-CAPTCHA: CAPTCHA based on recognizing human faces. |
| title_fullStr | FR-CAPTCHA: CAPTCHA based on recognizing human faces. |
| title_full_unstemmed | FR-CAPTCHA: CAPTCHA based on recognizing human faces. |
| title_short | FR-CAPTCHA: CAPTCHA based on recognizing human faces. |
| title_sort | fr captcha captcha based on recognizing human faces |
| url | http://europepmc.org/articles/PMC3988000?pdf=render |
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