In the evaluation test of iris recognition technology accuracy (hereinafter referred to as IREX IX, note 2) held by the world's leading authority, the National Institute of Standards and Technology of the United States (hereinafter referred to as NIST, note 1), NEC achieved the first place in matching precision.
Iris recognition technology is a kind of biometric recognition method that utilizes the ring-shaped thin film tissue between the cornea and the lens to recognize the iris data. It can perform high-precision rapid identification without contact, so in recent years, In systems with large-scale matching requirements centered on overseas groups and enterprises, its use has become more widespread.
Especially in government agencies, in order to protect privacy and further strengthen safety management, there is an increasing demand for more stringent personal identification in national ID, immigration, and criminal search.
NEC has mastered a variety of biometric technologies such as iris, face, finger print, palm print, finger vein, sound, and pincushion. Up to now, these technologies have been applied to more than 700 systems in more than 70 countries and regions around the world. , NEC's facial recognition technology has been awarded the No.1 NIST benchmark test 4 times in a row (Note 3), and fingerprint recognition technology has also been ranked No.1. NEC is using Bio-IDiom (Note 4) as a biometric technology brand. Promote these technologies.
NEC is actively committed to the social solutions business and continuously strengthens its safety business as a growth area for NEC's global business. In the future, NEC will continue to provide technology and services centered on the most advanced biometric 'Bio-IDiom' globally. , To contribute to a safe and secure society.
As an evaluation test of the matching accuracy of iris recognition technology, NIST's IREX Program has been performing large-scale evaluation of iris data since 2009. NIST's accuracy evaluation test is an objective and accurate method of identifying the participating groups through blind testing. Evaluation, so its evaluation has been widely recognized around the world and has attracted much attention.
In this year's IREX IX, which evaluated the iris data captured by near-infrared rays, NEC stood out from among the 13 groups that participated in the evaluation, and achieved the first place with a match accuracy of 99.33% (Note 5).
The reason why NEC achieved such a high accuracy and won the crown was mainly due to the unique technology in extracting and matching iris data features and eliminating interference.
NEC will use this evaluation result as a new starting point, continue to actively carry out research and development for the improvement of identification accuracy, and further strengthen the development and provision of iris recognition related products and services.
The NEC Group is committed to promoting social solutions business globally and creating safe, secure, efficient and fair social values. The company integrates advanced ICT technologies and knowledge to achieve a brighter, more colorful and efficient society. Do one strength.
(Note 1) NIST: abbreviation of National Institute of Standards and Technology, National Institute of Standards and Technology, established to strengthen technological innovation and industrial competitiveness.
(Note 2) IREX IX: Short for Iris Exchange IX.
(Note 3) NEC has achieved the highest ranking of the first place in facial recognition technology standard tests organized by the National Institute of Standards and Technology (NIST) 4 times in a row.
Https://cn.nec.com/en_us/press/2017/0316.html
(Note 4)
'Bio-Idiom' is a generic name for NEC biometrics such as face, iris, finger print, palm print, finger vein, sound, and pinna. It uses the world's highest level of technology and rich results flexibly, according to the needs. Differentiating or using these biometric technologies to achieve a 'better world where everyone can use their data with confidence'.
· NEC Biometrics Technology (English)
Https://www.nec.com/en/global/solutions/biometrics/index.html
(Note 5) When using the image database of 160,000 people for identification, the personal identification error rate was the lowest among all participating groups, only 0.67%.
<关于NEC的虹膜识别>(English)
Https://www.nec.com/en/global/solutions/biometrics/iris/index.html
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