13-07-2012, 04:54 PM
IRIS TECHNOLOGY
[attachment=27595]
IRIS RECOGNITION
Iris recognition is a method of biometric authentication that uses pattern recognition techniques based on high-resolution images of the irides of an individual's eyes.
iris recognition uses camera technology, and subtle IR illumination to reduce specular reflection from the convex cornea to create images of the detail-rich, intricate structures of the iris.
These unique structures converted into digital templates, provide mathematical representations of the iris that yield unambiguous positive identification of an individual.
Operating principle
An iris-recognition algorithm first has to identify the approximately concentric circular outer boundaries of the iris and the pupil in a photo of an eye. The set of pixels covering only the iris is then transformed into a bit pattern that preserves the information that is essential for a statistically meaningful comparison between two iris images.
ADVANTAGES
THE SMALLEST OUTLIER POPULATION OF ALL BIOMETRICS.
IRIS PATTERN AND STRUCTURE EXHIBIT LONG-TERM STABILITY.
IDEAL FOR HANDLING LARGE DATA BASE
UNMATCHED SEARCH SPEED
SAFETY CONSIDERATIONS
LIVE TISSUE VERIFICATION
Methods that have been suggested to provide some defence against the use of fake eyes and irises include:
Changing ambient lighting during the identification , such that the pupillary reflex can be verified and the iris image be recorded at several different pupil diameters
Testing for retinal retro reflection (red-eye effect)
Using 3D imaging (e.g., stereo cameras) to verify the position and shape of the iris relative to other eye features
[attachment=27595]
IRIS RECOGNITION
Iris recognition is a method of biometric authentication that uses pattern recognition techniques based on high-resolution images of the irides of an individual's eyes.
iris recognition uses camera technology, and subtle IR illumination to reduce specular reflection from the convex cornea to create images of the detail-rich, intricate structures of the iris.
These unique structures converted into digital templates, provide mathematical representations of the iris that yield unambiguous positive identification of an individual.
Operating principle
An iris-recognition algorithm first has to identify the approximately concentric circular outer boundaries of the iris and the pupil in a photo of an eye. The set of pixels covering only the iris is then transformed into a bit pattern that preserves the information that is essential for a statistically meaningful comparison between two iris images.
ADVANTAGES
THE SMALLEST OUTLIER POPULATION OF ALL BIOMETRICS.
IRIS PATTERN AND STRUCTURE EXHIBIT LONG-TERM STABILITY.
IDEAL FOR HANDLING LARGE DATA BASE
UNMATCHED SEARCH SPEED
SAFETY CONSIDERATIONS
LIVE TISSUE VERIFICATION
Methods that have been suggested to provide some defence against the use of fake eyes and irises include:
Changing ambient lighting during the identification , such that the pupillary reflex can be verified and the iris image be recorded at several different pupil diameters
Testing for retinal retro reflection (red-eye effect)
Using 3D imaging (e.g., stereo cameras) to verify the position and shape of the iris relative to other eye features