Iris recognition refers to the automated method of identifying or confirming the identity of a subject by analyzing the random pattern of the iris. Iris recognition is relatively young, being only commercially developed the last decade mostly due to previous patent limitations.
How iris recognition works:
The following sequence applies to both enrollment and recognition:
- Capture iris image. The camera acquires an image from the iris, lighting is mostly done with Near Infrared (NIR) light because with NIR there is less noise in the image due to reflections when compared to visible light. Also NIR light does not cause harm or discomfort to the subject.
- Finding iris in the image. One of the challenging parts of iris recognition is for the algorithm finding the concentric circular outside boundaries of pupil and iris. Often part of the iris is covered by eyelids or eyelashes, which even more complicates this step.
- Convert image. The set of pixels which cover the iris on the image are then transformed into a bit pattern that preserves required information for template comparisson but allows faster and statistical meaningful comparisson. Dr. Daugman’s algorithms, refered to as IrisCode ™, translates the visible characteristics from the image into a 512 byte code, the template, which allows extremely quick searches and a very low false acceptance rate.
When a subject tries to authenticate or identify himself, the generated IrisCode is compared with templates stored in the database. A test of statistical independence determines whether the IrisCode resulting from the scan and a stored IrisCode template are from the same iris.
Multifunctional Iris Device:
- Iris Indoor and Outdoor Camera :
- Iris Smart Keypad
- Iris Indoor Wireless Video Camera
- Iris Mouse
