False reject rate is a statistic used to measure biometric performance
when operating in the verification task and it usually calculated as the
percentage of times the system produces a false reject. A false reject
occurs when an individual is not matched to their own existing biometric
template. For example: John claims to be John, but the system incorrectly
denies the verification. This can be particularly frustrating for an end user
who knows that they are enrolled in the system and should be recognized and
verified, but for some reason the system is incorrectly rejecting their
scan. This can cause unnecessary logjams, affect service, frustrate staff
and negatively impact productivity.
In biometrics, iris and retinal scanning are known as “ocular-based” identification technologies, meaning they rely on unique physiological characteristics of the eye to identify an individual. Even though they both share part of the eye for identification purposes, these biometric modalities are quite different in how they work. Let’s take a closer look at both and then explain the similarities and differences in detail: Retinal Scanning: The human retina is a thin tissue composed of neural cells that are located in the posterior portion of the eye. Because of the complex structure of the capillaries that supply the retina with blood, each person’s retina is unique. The network of blood vessels in the retina is so complex that even identical twins do not share a similar pattern. Although retinal patterns may be altered in cases of diabetes, glaucoma or retinal degenerative disorders, the retina typically remains unchanged from birth until death. (Source: Wikipedia) ...
Comments
Post a Comment