Iris recognition technology is an important branch of biometric technology. It refers to the technology of identity recognition and verification through the iris in human eyes. Iris will remain unchanged in the whole life course after the formation of fetal development stage. It is the unique information characteristics of iris that determine that iris recognition is the most accurate technology among all biometric technologies.

At present, many mature software and hardware products and industrial application solutions have been developed based on iris recognition technology in the market, such as: ① iris recognition access control system installed on high-end real estate projects for access control; ② ATM machine loaded with iris recognition function, bank safe / cabinet and electronic payment; ③ A citizen’s e-passport carrying biometrics (iris information) to confirm identity when entering the borders of various countries; ④ Load the iris recognition function to confirm the biological information social security card of social insurance participants; ⑤ Use the stored iris information to track the fugitive’s identification instrument, etc.

Iris recognition technology has obvious advantages and is more reliable than fingerprint and face recognition

The process of iris recognition is mainly divided into four stages: iris image acquisition, image preprocessing, feature extraction and feature matching. When carrying out identity recognition, it is first necessary to use specific camera equipment to shoot the whole eye of people, and transmit the captured image to the image preprocessing software of iris recognition system. The software can perform iris location, iris image normalization and image enhancement on the obtained iris image to meet the needs of iris feature extraction. After the image preprocessing process, we need to use a specific algorithm to extract the feature points required for iris recognition from the iris image and encode them. Then the obtained feature codes are matched with the iris image feature codes stored in the database one by one, so as to judge whether they are the same iris, so as to achieve the purpose of identity recognition.

Because of the unique biological structure of iris, iris recognition technology has far more advantages than other types of biometrics. For example, iris contains rich biological texture information, and its structural complexity is thousands of times higher than that of fingerprint. John Daugman algorithm uses 3.4 bytes of data to represent iris information per square millimeter as a quantitative feature point. Compared with other biometric technologies (such as fingerprint recognition and face recognition), only 13-60 quantitative feature points can be read. The iris with complex structure can read 266 quantitative feature points through recognition technology, which greatly improves the accuracy of iris recognition. At present, the error rate of mainstream face recognition technology is 2%, the error rate of fingerprint recognition technology is 0.8%, and the error rate of iris recognition can be as low as one millionth. The iris will be fixed 6-18 months after birth, unchanged for life, and will not be damaged or worn by general diseases or other factors.

Due to the late start of iris recognition technology in China, it can not become the mainstream technology in various biometric application fields, but it has been replaced in some areas with high security requirements. For example, iris access control system of iris recognition technology is deployed in Hubei Provincial Public Security Department, Yichang Public Security Department Security Bureau, Henan Zhengzhou detention center and Xinjiang detention center to improve the management system. The continuous innovation of iris technology is expected to replace the current application bottleneck in the field of face recognition and fingerprint recognition in the future, and its commercial value will continue to be displayed through the market capacity.

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