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NEC’s World-renowned Face Recognition Technology

Consistent No.1 in a U.S. vendor evaluation project

Image of Face Recognition

Researcher Hitoshi ImaokaFacial Recognition Technology Team Leader Hitoshi Imaoka (Research Fellow)

From the researcher
We are doing research and development to come up with the “world’s fastest and most accurate recognition algorithm.” We have participated in benchmark tests conducted by the National Institute of Standards and Technology (NIST) and have consistently garnered first place in four tests, namely the Multiple Biometric Grand Challenge (MBGC) in 2009, the Multiple Biometric Evaluation (MBE) in 2010, the Face Recognition Vendor Test (FRVT) in 2013, and the Face In Video Evaluation (FIVE) in 2017.
Products based on NEC’s facial recognition technologies are now used in 40 countries around the world. Going forward, we will continue to conduct R&D on core technologies to realize a secure and smart society.

Cutting-edge Technologies

Face recognition technology is comprised of three basic technologies, namely, face detection technology, feature point extraction technology, and face matching technology.
Face detection technology detects the “position of the face” within an image, while feature extraction technology finds the “position of facial feature points,” such as the pupil, subnasal point, mouth corners, etc. Face matching technology determines the “identity” of the detected face.

Results of NIST facial recognition benchmark tests: prepared from NIST Interagency Report 8173

Results of NIST facial recognition benchmark tests: prepared from NIST Interagency Report 8173
(https://www.nist.gov/programs-projects/face-video-evaluation-five)

Deployed in more than 40 countries

NEC's biometric face recognition technology is used worldwide for fighting crime, preventing fraud and improving public safety. By applying experience in biometric identification solutions used in 40 countries worldwide over the past decade, NEC has concentrated on developing stronger face recognition methods within the framework of biometric security systems and is now applying face recognition technology to law enforcement and other markets.

Results shown from the MBGC2009, MBE2010, FRVT2013, and FIVE2017 (Face In Video Evaluation 2017) do not constitute endorsement of any particular product by the U.S. Government.

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