Human Interactive Proofs and Document Image Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
ARTiFACIAL: automated reverse turing test using FACIAL features
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Telling humans and computers apart automatically
Communications of the ACM - Information cities
IMAGINATION: a robust image-based CAPTCHA generation system
Proceedings of the 13th annual ACM international conference on Multimedia
Asirra: a CAPTCHA that exploits interest-aligned manual image categorization
Proceedings of the 14th ACM conference on Computer and communications security
Machine learning attacks against the Asirra CAPTCHA
Proceedings of the 15th ACM conference on Computer and communications security
CAPTCHA: using hard AI problems for security
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
Recognizing objects in adversarial clutter: breaking a visual captcha
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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This paper proposes a new image based CAPTCHA test, An Automated Reverse Turing Test Using Facial Expressions based on facial emotion recognition. In this test the user is presented with a set of images of human faces having common emotion and a set of labeled smiley images with different emotions. Of the smileys, one will be having the emotion as that of the human faces. The user has to identify the common emotion associated with the human faces and choose it from a given list of expressions provided to pass the test. User studies indicates that this CAPTCHA can be solved with 95.82% success rate while that of ESP PIX is 87.2% and SQUIGL PIX is 67.8%.