Tel Aviv University (TAU) researchers have developed a new Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) security mechanism designed to stop computer algorithms programmed to beat current CAPTCHA technology. TAU’s Danny Cohen-Or led a research team that created video CAPTCHA code that uses an emergence image–an object on a computer screen that only becomes recognizable when it is moving. Humans are very good at identifying these types of images while computers are not. “Computer vision algorithms are completely incapable of effectively processing emergence images,” says TAU professor Lior Wolf. The researchers also are developing ways of generating hidden images in a natural background, such as an eagle or a lion in a pastoral mountain setting. “A good CAPTCHA has to be something that’s easy for people but hard for a computer,” says Cohen-Or.
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