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Research with IrisGuard device shows iris biometrics work with children aged 4 to 11

Clarkson University-led study shows minimal aging affects on irises
Research with IrisGuard device shows iris biometrics work with children aged 4 to 11

A new academic study shows iris biometrics are likely to be effective for identifying children over time, as irises do not age substantially over time in people between four and eleven years old, and IrisGuard is not surprised.

Iris Recognition Performance in Children: A Longitudinal Study’ was conducted by Priyanka Das, Laura Holsopple, Dan Rissacher, Michael Schuckers and Stephanie Schuckers, and is published by IEEE. It shows that over a period of three years, 209 subjects showed a “statistically significant, but practically insignificant” aging effect, which the researchers consider less important than other variables.

IrisGuard touts the findings as proof of a contention the company has held since 2000, which it first launched an iris biometrics-based border control system in the UAE.

The research was conducted using IrisGuard’s AD100 imaging system, which features built-in automatic pupil-dilation control to ensure uniformity between the samples captured during enrollment and verification. The company says this patented pupil dilation-control method is highly important for applications in which millions of people’s irises are enrolled for targeted distribution of financial assistance, EMR management or border control, like those served by IrisGuard technology.

The researchers found enrolling the biometrics of young subjects with typical cameras difficult, but the research with what may be the only dataset of its kind with longitudinal iris images suggests iris recognition over a three-year span for children in the age range is feasible.

“I am delighted that our dedication and attention to detail to build the most accurate iris recognition cameras has proven its value in this ground-breaking study,” IrisGuard Founder and Chief Technology Officer Imad Malhas says. “We have always known that pupil dilation causes major compromise on scanned data and that for our real-time verification of millions of people with unmatched FAR and over 100 trillion cross matches so far, this level of accuracy was mandatory.”

The social and humanitarian impact of IrisGuard’s biometrics was recently recognized with designation as part of the Million Lives Club.

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