Machines cannot replicate human image recognition -- yet

NOVEMBER 10, 2009--While computers can replicate many aspects of human behavior, they do not possess our ability to recognize distorted images, according to a team of Penn State researchers.

NOVEMBER 10, 2009--While computers can replicate many aspects of human behavior, they do not possess our ability to recognize distorted images, according to a team of Penn State researchers. "Our goal is to seek a better understanding of the fundamental differences between humans and machines and use this in developing automated methods for distinguishing humans and robotic programs," said James Z. Wang, associate professor in Penn State's College of Information Sciences and Technology.

Wang, along with Ritendra Datta, a Penn State doctoral recipient, and Jia Li, associate professor of statistics at Penn State, explored the difference in human and machine recognition of visual concepts under various image distortions. The researchers used those differences to design image-based CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart), visual devices used to prevent automated network attacks. Many e-commerce web sites use CAPTCHAs, which are randomly generated sets of words that a user types in a box in order to complete a registration or purchasing process. This is done to verify that the user is human and not a robotic program. In Wang's study, a demonstration program with an image-based CAPTCHA called IMAGINATION was presented on http://imagination.alipr.com.

Both humans and robotic programs were observed using the CAPTCHA. Although the scope of the human users was limited, the results, presented in the September issue of IEEE Transactions on Information Forensics and Security, proved that robotic programs were not able to recognize distorted images. In other words, a computer recognition program had to rely on an accurate picture, while humans were able to tell what the picture was even though it was distorted.

For more information, go to http://live.psu.edu/story/41410/nw3.

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