University study shows top biometric performance by NEXT Biometrics’ fingerprint sensors

A new study by Carlos III University of Madrid (UC3M) shows NEXT Biometrics’ fingerprint sensor technology outperforms that of three top competitors in terms of accuracy, the company has announced.

NEXT Biometrics’ sensors achieved significantly lower error rates, according to the announcement. When configured for a 1 in 10,000 false acceptance rate with a leading fingerprint algorithm suitable for embedded platforms, the NEXT sensor was the only one to achieve a false rejection rate below one percent.

“Independent experts again agree that small sensors can never achieve the same level of convenience and security as large-area fingerprint sensors,” said Ritu Favre, NEXT CEO. “At NEXT, we’re naturally quite pleased to see that our latest product even outperforms much more expensive benchmark sensors from leading competitors. Our ability to produce such high-performing fingerprint sensors is a key competitive advantage.”

The study (PDF) was conducted in accordance with ISO best practices methodology, with more than 500 individuals and 50,000 scans per sensor. It confirmed a previously observed relation between sensor size and biometric performance.

UC3M published a study in 2015 showing that NEXT sensors with larger areas perform more accurately than competitor’s smaller sensors.

NEXT recently signed a deal to provide sensors for point-of-sale devices as it begins its push into the Indian market.

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