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Digital templates encoded from these patterns by mathematical and statistical algorithms allow the identification of an individual or someone pretending to be that individual.

Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally. Retinal scanning is a different, ocular-based biometric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. However, the technology is in development and iris recognition can be accomplished from even up to 10 meters away or in a live camera feed. Its major limitation is that image acquisition from distances greater than a meter or two, or without cooperation, can be very difficult. Iris recognition is exceptional in this regard, enabling the avoidance of 'collisions' (False Matches) even in cross-comparisons across massive populations.

The discriminating powers of all biometric technologies depend on the amount of entropy they are able to encode and use in matching. Iris recognition is an automated method of biometric identification 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 biometric systems apply mathematical pattern-recognition techniques to images of the irises of an individual's eyes.

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