30-08-2014, 03:20 PM
Retina Scan for Biometric Identification
[attachment=67471]
from Biometrics View
Eye is fully developed at birth
Doesn't significally chage during life
Two different parts of eye as iris & retina is used for biometric identification.
Having high success rate.
Retina
The retina is a thin layer of cells at the back of the eyeball of vertebrates.
It is the part of the eye which converts light into nervous signals.
The retina contains photoreceptor cells (rods and cones) which receive the light;
the resulting neural signals then undergo complex processing by other nurons of the retina, and sends it to brain to detect light and darkness.
The retina also plays a significant part in visual perception.
Retina Recognition: History
First automated retinal scanner and identifier was patented 1977 by Robert B. Hill
Used green diodes to reflect light from the fundus
The light reflected from blood vessels was identified and mapped for recognition
Obtaining sample
To successfully enroll, the user must situate his/her eye within ½ inch of the device being used. The user must remain perfectly still while looking at a rotating green light. Each scan takes between 10 and 15 seconds
accurate measurement of the retina. The high level of accuracy is due to the fact that retina scanning measures 400 points in the human eye, as opposed to something like finger scanning which measures between 30 and 40 points.
Advantages
High accuracy
Sample usability
Fraud resistance
Small template size
Disadvantages
Hard to use, high-skill requirement
Hard to enroll
Consumer perception about the eye itself
Intrusive technology
High cost
[attachment=67471]
from Biometrics View
Eye is fully developed at birth
Doesn't significally chage during life
Two different parts of eye as iris & retina is used for biometric identification.
Having high success rate.
Retina
The retina is a thin layer of cells at the back of the eyeball of vertebrates.
It is the part of the eye which converts light into nervous signals.
The retina contains photoreceptor cells (rods and cones) which receive the light;
the resulting neural signals then undergo complex processing by other nurons of the retina, and sends it to brain to detect light and darkness.
The retina also plays a significant part in visual perception.
Retina Recognition: History
First automated retinal scanner and identifier was patented 1977 by Robert B. Hill
Used green diodes to reflect light from the fundus
The light reflected from blood vessels was identified and mapped for recognition
Obtaining sample
To successfully enroll, the user must situate his/her eye within ½ inch of the device being used. The user must remain perfectly still while looking at a rotating green light. Each scan takes between 10 and 15 seconds
accurate measurement of the retina. The high level of accuracy is due to the fact that retina scanning measures 400 points in the human eye, as opposed to something like finger scanning which measures between 30 and 40 points.
Advantages
High accuracy
Sample usability
Fraud resistance
Small template size
Disadvantages
Hard to use, high-skill requirement
Hard to enroll
Consumer perception about the eye itself
Intrusive technology
High cost