{"id":304,"date":"2025-03-18T18:54:47","date_gmt":"2025-03-18T18:54:47","guid":{"rendered":"https:\/\/coeng.uaa.alaska.edu\/AI\/?page_id=304"},"modified":"2025-03-24T20:12:49","modified_gmt":"2025-03-24T20:12:49","slug":"raise-iris-recognition","status":"publish","type":"page","link":"https:\/\/coeng.uaa.alaska.edu\/AI\/raise-iris-recognition\/","title":{"rendered":"RAISE – Iris Recognition"},"content":{"rendered":"
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\nUAA College of Engineering\n<\/div>

\n\u200b\u200bReal-time continuous iris recognition for authentication using an eye tracker\n<\/h1>
\nA collaborative project led by: Kenrick Mock, Bogdan Hoanca, Justin Weaver, Mikal Milton\n<\/div>\n<\/div>
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\"UAA<\/div>\n<\/section>
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\nAdvancing Authentication: The Promise of Iris Recognition\n<\/h1>
\nContinuous User Verification Through Eye Tracking Technology\n<\/div>\n<\/div><\/div><\/div>\n<\/section>
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\nThe majority of today's authentication systems, including password and fingerprint scanners, are based on one-time, static authentication methods. A continuous, real-time authentication system opens up the possibility for greater security, but such a system must be unobtrusive and secure.

In recent research, a team of UAA experts explored whether a commercial eye tracker can be used for unobtrusive, continuous, real-time user authentication via iris recognition. This innovative approach leverages the unique patterns within the iris, which are highly distinctive and stable over time.

While traditional authentication methods require periodic user input, continuous iris recognition could provide ongoing verification without disrupting the user's workflow. This technology has the potential to significantly enhance security in various applications, from enterprise systems to healthcare and financial services.

As eye tracking technology continues to advance, its capabilities for multiple factor, continuous authentication are becoming increasingly compelling.\n<\/div><\/div>\n<\/section>
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\nFrequently Asked Questions\n<\/h1>
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