NIST Validation

NIST Validation

Third-Party Authenticated

NEC's state-of-the-art biometrics algorithms have been validated by the National Institute of Standards and Technology (NIST) in a comprehensive range of tests from small one-to-one verification to large-scale high-volume identification matching.

Below are the NEC validations received so far.


NEC Facial Recognition Validations

Iris
Validations



NIST Face Recognition Vendor Test (FRVT) 1:N Identification
NEC's face recognition technology achieved the highest matching accuracy in the Face Recognition Vendor Test (FRVT) 2022 performed by the U.S. National Institute of Standards and Technology (NIST). The latest NIST results showed NEC’s algorithm outperformed the entire field of 329 entries submitted from all over the world on mugshot identification. Our NEC-005 algorithm demonstrated a False Negative Identification Rate (FNIR) of just 0.0017 at a False Positive Rate (FPIR) of 0.001, respectively. This same algorithm outperformed a field of 289 entries on Mugshot to Webcam identification with an FNIR of .0120 at a FPIR of .001.
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NIST IREX IX 2018
NEC's iris recognition technology achieved the highest accuracy evaluation in the U.S. National Institute of Standards and Technology (NIST) Performance of Iris Recognition Algorithms (IREX IX Part One) in both 1:1 (one-to-one) and 1:N (one-to-many). The aim of this study is to evaluate the performance of iris recognition over operational test data. As a technology evaluation, it is very similar to IREX IV Part 1:Evaluation of Iris Identification Algorithms. However, unlike IREX IV it assesses both verification (one-to-one) and identification (one-to-many) performance. Thirteen research institutions submitted recognition algorithms for evaluation, more than any other IREX evaluation.
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NEC Facial Recognition Validations

Facial Recognition
Validations



NIST Face Recognition Vendor Test
(FRVT) 2018
NEC's face recognition technology achieved the highest matching accuracy in the Face Recognition Vendor Test (FRVT) 2018 performed by the U.S. National Institute of Standards and Technology (NIST), with an error rate of 0.5% when registering 12 million people. NEC's technology ranked No. 1 in NIST testing for the fifth time, following its top placement in the face recognition testing for video in 2017.
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View NIST Interagency Report
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NIST 2017 FIVE
NEC's face recognition technology achieved the highest performance evaluation in the Face in Video Evaluation (FIVE) testing performed by the U.S. National Institute of Standards and Technology (NIST*). Results were released in NIST's Interagency Report 8173: Face In Video Evaluation (FIVE) Face Recognition of Non-Cooperative Subjects. Video face recognition technology identifies the faces of moving subjects in real-time as they walk naturally without stopping in front of a camera. NEC's face recognition technology took first place for the fourth consecutive time following the 2009 Multiple Biometric Grand Challenge (MBGC 2009), 2010-2011 Multiple Biometrics Evaluation (MBE 2010-2011), and 2013 Face Recognition Vendor Test (FRVT 2013).
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NIST Face Recognition Vendor Test
(FRVT) 2013
NEC's face recognition technology achieved the highest performance evaluation in the NIST Face Recognition Vendor Test (FRVT) 2013. This test is widely regarded as the benchmark for determining the most accurate face recognition software solution for one-to-many searching. Test results were published in the NIST Interagency Report 8009 (NISTIR 8009) - Performance of Face Recognition Algorithms.
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NIST Interagency Report
7830 2011
NEC's facial recognition technology again achieved the highest ranking in the 2011 NIST Interagency Report 7830, where JPEG Compression, JPEG 2000 Compression, and Inter-Eye Distance Reduction investigations were performed. The NIST compression test simulated an environment very common in forensic processing of crime scene photographs and videos: High compression rate tests simulate low-resolution images, while low inter-eye pixel distances simulate images from surveillance videos.
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Multiple Biometrics Evaluation
(MBE) 2010-2011
NIST testing of facial recognition solutions was conducted in the Multiple Biometrics Evaluation (MBE) 2010-2011, in which NeoFace was shown to be the most accurate facial recognition algorithm among all tested vendors algorithms by a wide accuracy and speed margin. Results were published in the 2010 Report on the Evaluation of 2D Still-Image Face Recognition Algorithms at NIST.
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NEC Fingerprint Validation

Fingerprint
Validation


Minutiae Interoperability Exchange Test (NIST 7296)
NEC consistently achieved top rankings in both the lowest false accept and the lowest false reject rates recorded in the Minutiae Interoperability Exchange Test. This test determined the feasibility of using minutiae data for the exchange of fingerprint information between dissimilar fingerprint matching systems and proved NEC's superior biometric technology. The test was conducted by NIST and was co-sponsored by the Department of Justice, Justice Management Division and the Department of Homeland Security US-VISIT program.

Slap Fingerprint Segmentation Evaluation 2004 (SlapSeg04)
NEC's algorithms ranked #1 in matching accuracy. Slap Test offers an assessment of the accuracy of algorithms used to segment slap fingerprint images into individual fingerprint images, sponsored by NIST and the Justice Management Division of the U.S. Department of Justice.

Fingerprint Vendor Technology Evaluation Test (NIST 7123)
The unparalleled identification accuracy of NEC's fingerprint matching algorithm was rated top performer in all categories of the 2003 FpVTE test, an independently administered technology evaluation of fingerprint matching, identification, and verification systems conducted by the National Institute of Standards and Technology (NIST).

One-to-One Fingerprint Matching with Vendor SDK Matchers Test (NISTIR 7221)
Two NEC algorithms ranked #1 and #2 in overall matching cost effectiveness (matching speed and accuracy). NEC also captured the #2 rank for overall absolute accuracy, placing a close second (98.97% vs. 99.01%) behind an algorithm that matched at speeds nearly three times slower.


Two Finger Matching with Vendor SKD Matchers Test
(NSTIR 7249)
NEC's algorithms performance mirrored its performance in the One-to-One Fingerprint Matching Test.

* Results shown from the Face In Video Evaluation (FIVE), the Multiple Biometric Grand Challenge (MBGC), the Multiple Biometric Evaluation (MBE) and the Face Recognition Vendor Test (FRVT) do not constitute endorsement of any particular product by the U.S. Government.

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