Iris vs. Retina
Iris vs. Retinal Scanning – Is there a Difference?
The iris (plural: irides or irises) is a thin, circular structure in the eye, responsible for controlling the diameter and size of the pupils and thus the amount of light reaching the retina. “Eye color” is the color of the iris, which can be green, blue, or brown. In some cases it can be hazel (a combination of light brown, green and gold), grey, violet, or even pink. In response to the amount of light entering the eye, muscles attached to the iris expand or contract the aperture at the center of the iris, known as the pupil. The larger the pupil, the more light can enter. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of the irides of an individual’s eyes, whose complex random patterns are unique and can be seen from some distance.
Unlike retina scanning, and iris scan uses camera technology with subtle infrared illumination to acquire images of the detail-rich, intricate structures of the iris. Digital templates encoded from these iris scan patterns by mathematical and statistical algorithms allow unambiguous positive identification of an individual. Databases of enrolled templates are searched by matcher engines at speeds measured in the millions of templates per second per (single-core) CPU, and with infinitesimally small False Match rates. Hundreds of millions of persons in countries around the world have been enrolled in iris recognition systems, for convenience purposes such as passport-free automated border-crossings, and some national ID systems based on this technology are being deployed. A key advantage of iris recognition, besides its speed of matching and its extreme resistance to False Matches, is the stability of the iris as an internal, protected, yet externally visible organ of the eye.
While both iris recognition and retina scanning are ocular based biometric technologies, there are distinct similarities and differences that differentiate the two modalities. Iris recognition uses a camera, which is similar to any digital camera, to capture an image of the iris. The iris is the colored ring around the pupil of the eye and is the only internal organ visible from outside the body. This allows for a non-intrusive method of capturing an image since you can simply take a picture of the iris from a distance of 3 to 10 inches away.
Retinal scanning requires a very close encounter with a scanning device that sends a beam of light deep inside the eye to capture an image of the retina. Since the retina is located on the back of the eye, retinal scanning was not widely accepted due to the intrusive process required to capture an image.
Iris Recognition and Retinal Scanning Similarities
- Low occurrence of false positives
- Extremely low (almost 0%) false negative rates
- Highly reliable because no two people have the same iris or retinal pattern
- Speedy results: Identity of the subject is verified very quickly
- The capillaries in the iris and retina decompose too rapidly to use a amputated eye to gain access
Iris Recognition and Retinal Scanning Differences
- Retinal scan measurement accuracy can be affected by disease; iris fine texture remains remarkably stable
- An iris scan is no different than taking a normal photograph of a person and can be performed at a distance; for retinal scanning the eye must be brought very close to an eyepiece (like looking into a microscope)
- Iris scanning is more widely accepted as a commercial modality than retinal scanning
- Retinal scanning is considered to be invasive, iris is not
Iris vs. Retinal Scanning: What are the similarities and differences?
|Extremely fast and reliable search results|
|Uses safe, low energy-infrared light for scanning (same as what is used in TV remote controls)|
|Uses a digital camera to capture the image|
|Has absolutely no negative impact on human health|
|Ability to save biometric images for auditing purposes|
|Ideal for large databases|
|Measurement accuracy affected by disease|
|Requires close proximity to camera for successful scan|