What is Iris recognition?
Iris recognition is a biometric identification technology that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual’s eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Iris recognition works by illuminating the iris with infrared light and taking a high-contrast photograph. The iris is the colored part of the eye surrounding the pupil. It has a unique pattern of grooves, furrows, and crypts that is formed during fetal development and remains stable throughout a person’s life.
The iris image is then converted into a digital template that can be stored in a database or used to match against other iris templates. To identifys an individual, their iris template is compared to the templates in the database. If there is a match, the individual is identified.
Iris recognition is a highly accurate and reliable form of biometric identification. It has a very low false positive rate (the rate at which an imposter is mistakenly identified as a genuine user) and a very low false negative rate (the rate at which a genuine user is mistakenly identified as an imposter).
Iris recognition is used in a variety of applications, including:
- Border security
- Law enforcement
- National security
- Financial services
- Access control
- Healthcare
Iris recognition is a valuable tool for enhancing security and preventing fraud. It is a non-intrusive and contactless technology that can be used to identify individuals quickly and accurately.
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https://www.marketresearchfuture.com/reports/iris-recognition-market-2430
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