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NEC Face Recognition Technology Ranks First in NIST Accuracy Testing

11 Oct 2019
NEC Face Recognition Technology Ranks First in NIST Accuracy Testing
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NEC Corp claims that their face recognition technology gained the highest matching accuracy in the Face Recognition Vendor Test (FRVT) 2018 executed 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 rated No. 1 in NIST testing for the fifth time, after its top placement in the face recognition testing for video in 2017. The high performance of NEC’s technology is shown in the test results which placed the company dramatically ahead of the runner-up.
 
In the past few years, the rising convenience of biometric authentication technology, improved security awareness, and the remarkable development of artificial intelligence (AI), have driven companies in many countries to begin adopting biometric authentication technology. In particular, the use of face recognition technology is rather quickly enlarging across an array of fields throughout the world. Face recognition technologies are now in use in areas that require high reliability, convenience and long-term use, for example identity verification and national infrastructure, transaction settlements, bank account establishment, and passport verification.
 
Forty-nine organizations, along with companies from the United States, China, Russia, Europe, and Japan, participated in the NIST’s FRVT 2018, where the evaluation of face recognition accuracy was practiced. These tests are the most strenuous and fair benchmarks implemented by the NIST as each organization is required to submit and be reviewed on programs that were developed during the same period. By performing multi-stage matching, an impressive search speed of 230 million matchings per second was achieved. On top of that, leveraging NEC's deep learning methods to considerably decrease the identification error rate, NEC exactly matched images of a subject taken over a 10-year interval with an error rate that was 4 times lower than the runner-up.
 

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