Behin IRIS (Automated IRIS-Based Identification System)
Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of the irises of an individual’s eyes, whose complex random patterns are unique and can be seen from some distance.
The automated method of iris recognition is relatively young, existing in patent only since 1994. Iris is one of three biometric identification technologies internationally standardized by ICAO for use in future passports (the other two are fingerprint and face recognition)
United Arab Emirates IrisGuard’s Homeland Security Border Control has been operating an expellee tracking system in the United Arab Emirates (UAE) since 2001, when the UAE launched a national border-crossing security initiative. Today, all of the UAE’s land, air and sea ports of entry are equipped with systems. All foreign nationals who possess a visa to enter the UAE are processed through iris cameras installed at all primary and auxiliary immigration inspection points. To date, the system has apprehended over 330,000 persons re-entering the UAE with fraudulent travel documents.
Behin Pajouhesh Company is an Iranian company that researches and develops both software and hardware biometric productions. After carrying out extensive researches and by exploiting local experts the company has succeeded to achieve the ability to collect and search on large scale biometrical databases that include millions of iris images.
The iris of the eye has been described as the ideal part of the human body for biometric identification for several reasons:
- An internal organ that is well protected against damage and wear by a highly transparent and sensitive membrane
- The iris is mostly flat, and its geometric configuration is only controlled by two complementary muscles. This makes the iris shape far more predictable than, for instance, that of the face.
- The iris has a fine texture thatâ€”like fingerprintsâ€”is determined randomly during embryonic gestation.
- An iris scan is similar to taking a photograph and can be performed from about 10Â cm to a few meters away.
- The fine texture remains remarkably stable over many decades. Some iris identifications have succeeded over a period of about 30 years.
An iris-recognition algorithm first has to localize the inner and outer boundaries of the iris (pupil and limbus) in an image of an eye. Further subroutines detect and exclude eyelids, eyelashes, and specular reflections that often occlude parts of the iris. The set of pixels containing only the iris, normalized by a rubber-sheet model to compensate for pupil dilation or constriction, is then analyzed to extract a bit pattern encoding the information needed to compare two iris images.
The below table shows the estimated market growth of Iris-based identification applications.