New UC3M Study Finds Lower FRR for Large-Area NEXT Biometrics Sensor

“The study involved over 500 individuals, 50,000 fingerprint scans per sensor, and hundreds of millions of fingerprint comparisons…”

New UC3M Study Finds Lower FRR for Large-Area NEXT SensorNEXT Biometrics is touting the results of a new study conducted by the Carlos III University of Madrid (“UC3M”) that has found the company’s fingerprint sensors perform significantly better than those of leading competitors.

The study involved over 500 individuals, 50,000 fingerprint scans per sensor, and hundreds of millions of fingerprint comparisons; and it was based on methodology used by the International Standardization Organization. It found that NEXT Biometrics’ sensor was the only one to reach a False Rejection Rate under one percent while attaining a False Acceptance Rate of one-in-10,000.

In announcing the result, NEXT Biometrics framed it as a validation of its large-area sensor technology, with CEO Ritu Favre asserting, “Independent experts again agree that small sensors can never achieve the same level of convenience and security as large-area fingerprint sensors.” Favre added, “we’re naturally quite pleased to see that our latest product even outperforms much more expensive benchmark sensors from leading competitors.”

The study follows one conducted by UC3M in 2015 that also found higher False Rejection Rates for smaller-area fingerprint sensors. While that study had been initiated by NEXT Biometrics, the latest, entitled “Multi-Sensor Performance Evaluation (Madrid-2)“, made no mention of having been commissioned by the company.

November 5, 2018 – by Alex Perala