Idemia PS face biometrics score high accuracy at scale in latest NIST FRTE

Idemia Public Security’s latest facial recognition algorithm has ranked first across the tested gallery sizes in the frontal mugshot-to-mugshot scenario of NIST’s latest FRTE 1:N Identification evaluation.

The submission recorded a 1.11 percent FNIR against the 12 million-person gallery, with an FPIR of 0.1 percent. Its ability to maintain low error rates as the enrolled population increased shows the strongest result.

Scale provides useful context for differentiating leading biometric algorithms as they converge on controlled image comparisons.

Idemia’s (013) face biometerics algorithm delivered an FNIR of 0.05 percent in mugshot identification with databases of 1.6 million and 12 million images, and 0.55 percent on webcam-to-mugshot comparisons, all best in the field. The company’s results remain close to those of the leaders in other controlled or near-frontal scenarios.

In visa-to-border comparisons, Idemia scored a 0.13 percent FNIR, third overall but also tops so far in the “by developer” rankings, because NEC’s (010) submission scored better overall than its (011) and (012) algorithms, which have lowest two FNIRs to date.

Idemia ranks ninth for visa-to-kiosk identification at 4.74 percent and twenty-sixth when matching profile images against a mugshot gallery with an FNIR of 7.50 percent.

The company also finished in the top tier for demographic fairness by FPIR, according to an announcement celebrating its results.

The new submission shows a substantial improvement over its algorithm evaluated last year. In visa-to-border identification, FNIR declined from 0.22 percent to 0.13 percent at the same 0.3 percent FPIR operating point.

Progress also extends to several other tests, with border-to-border FNIR falling from 2.42 percent to 1.21 percent and mugshot-to-webcam FNIR declining from 0.82 percent to 0.55 percent. The visa-to-kiosk performance improved from 5.16 percent to 4.74 percent.

“These results validate our investments in AI-driven biometric technologies that enable governments and agencies worldwide to strengthen security while improving the experience for travelers and citizens alike,” says Vincent Bouatou, chief technology officer, Idemia Public Security.

Article Topics

biometric testing  |  biometrics  |  Face Recognition Technology Evaluation (FRTE)  |  facial recognition  |  IDEMIA  |  Idemia Public Security  |  NIST