Computer scientist making iris recognition more secure

| Stephen Mayhew
Categories Biometric R&D  |  Biometrics News  |  Iris / Eye Recognition

Computer scientist Oleg Komogortsev and a team at Texas State University are working to make iris recognition more secure and harder to fool.

According to a new report, Komogortsev’s method for biometric identification involves multiple biometric readings including a scan of the iris, recording the movement of the eye globe and its muscles, and surveying where a person’s brain focuses visual attention.

The new method is actually compatible with existing iris recognition technology, meaning that the improvement in accuracy can be achieved through a software upgrade.

Along with applications in identity verification, this technology can also determine an individual’s fatigue or stress.

As Biometric Update had reported in 2012, Komogortsev’s team filed a patent application for the technology with plans to market the technology and license it to the private sector for commercial use.

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