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An Automated Reverse Turing Test Using Facial Expressions

机译:使用面部表情的自动反向图灵测试

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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%.
机译:本文提出了一种新的基于图像的CAPTCHA测试,这是一种使用基于面部情感识别的面部表情进行的自动反向图腾测试。在该测试中,向用户呈现一组具有共同情感的人脸图像和一组具有不同情感的标记笑脸图像。在笑脸中,会有一种像人脸一样的情感。用户必须识别与人脸相关的共同情感,并从提供的通过测试的给定表情列表中进行选择。用户研究表明,此CAPTCHA可以成功解决95.82%,而ESP PIX的成功率为87.2%,SQUIGL PIX的成功率为67.8%。

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