NEC face recognition technologies were ranked No. 1 in the MBE Still-Face Track in 2010.

Highest identification rate

95% identification rate from a 1.8 million person visa applicant


92% identification rate from a 1.6 million person criminal

Lowest error rate

High tolerance to variations in face angle



High tolerance to　variations in age

Highest query processing speed

(1.6 million images in approx. 0.4 second)

NEC face recognition technologies were ranked No. 1 in the MBGC "Still-Face" Challenge Problem in 2009

Highest verification rate

High tolerance to variations in illumination and compression

Lowest false reject/accept rate

0.3% False Reject Rate in processing visa application database
0.1% False Accept Rate in processing visa application database

NEC's latent fingerprint matching technology was ranked number one in the world on the Evaluation of Latent Fingerprints Technologies (ELFT) test carried out by the National Institute of Standards and Technology (NIST), commissioned by the U.S Department of Homeland Security.

Among the world's leading fingerprint matching system vendors participating in this evaluation, NEC far surpassed even the second ranking vendor and reassured the superior position of NEC's fingerprint technology. NEC's high accuracy rate is achieved by the integration of improved matching technologies, such as a low-confidence minutiae adaptive matching algorithm, a zone matching algorithm, and recently developed image processing technologies specialized for latent fingerprints, such as a latent background noise removal algorithm and a low-quality fingerprint ridge recognition algorithm.

The ELFT07 was a test of accuracy for searching latent fingerprints when using automatic feature extraction and matching, conducted in the United States in 2007 under the control of one of the US's most respected government authorities, the NIST.

Results shown from the NIST ELFT07 do not constitute endorsement of any particular system by the Government.

The PFT tests are conducted by NIST to evaluate fingerprint biometrics matching systems using vendor-supplied SDKs. These evaluations are ongoing and new SDKs can be included in the test at any time.

• One-to-one fingerprint matching with Vendor SDK matchers test This test measures the 1:1 accuracy of fingerprint matching systems used for 1:1 verification. NEC captured the No.1 rank for overall absolute accuracy.
• Two finger matching with Vendor SDK matchers test As an extension of the 1:1 fingerprint matching tests, this test is designed to evaluate the matching accuracy that can be achieved by combining scores for the right and left index fingers. NEC's algorithms performance mirrored its performance in the 1:1 Fingerprint Matching Test.

The growing use of biometrics for security applications in immigration and border control has focused attention on the importance of interoperability among multiple matching systems. The MINEX, conducted by NIST and sponsored by the Justice Management Division of the U.S. Department of Justice and the Department of Homeland Security US-VISIT program, determines the feasibility of using minutiae data for the exchange of fingerprint information between dissimilar fingerprint matching systems.

In MINEX04, NEC AFIS was evaluated as one of the most accurate algorithms in the minutiae data exchange interoperability test. Where vendors own proprietary minutiae data was used, NEC AFIS earned the top ranking (i.e., proved overall superiority).

In SlapSeg04, NEC AFIS achieved the top score in segmentation accuracy. Additionally, NEC AFIS proved most accurate in hand and finger position identification.

Slap fingerprints (or slaps) are plain four-finger images taken by pressing the four fingers of one hand onto a scanner or fingerprint card simultaneously. Slap segmentation is the process by which a single image containing four fingerprint images is divided into four images of the individual fingers. The high accuracy of slap segmentation contributes to the total system cost performance.


The SlapSeg04 was conducted by the NIST in collaboration with the U.S. Visitor and Immigrant Status Indicator Technology (VISIT) Program Office, the U.S. Department of Homeland Security (DHS) and the Federal Bureau of Investigation (FBI). This evaluation determined the accuracy of the slap fingerprint segmentation algorithm (i.e., one component of AFIS) used to segment slap fingerprint images into individual fingerprint images.

In FpVTE2003, NEC AFIS earned the top ranking for its unparalleled matching accuracy in all accuracy tests using real data sets. To be particularly noted is that, even when the data had poor quality, NEC AFIS showed remarkable performance standing out from all competitor AFIS systems by a substantial margin.


The FpVTE2003 was an international benchmark test of fingerprint matching, identification, and verification systems, conducted in the United States in 2003 under the control of one of the US's most respected government authorities, the NIST.

Results shown from the NIST FpVTE2003 do not constitute endorsement of any particular system by the Government.