What are the different types of iris recognition systems?
IRIS recognition systems are devices that scan individuals of the individual to determine the identity of the individual, usually for safety purposes. Such systems are based primarily on the use of cameras that use infrared light to generate highly detailed images of unique patterns in the iris of the individual. IRIS recognition systems are used in different environments, including immigration, airport security and even instead of passwords for the Internet sites. Safety systems based on iris recognition are, if used correctly, at least as effective as fingerprint scanners to identify individuals without ambiguity. After developing an individual's template, it is rarely needed to update this template during the individual's life.
The components used in various iris recognition systems may vary according to the quality and application of systems. For example, they can use infrared or visible light when generatingzku. Generated images are performed by algorithms that are subjected to comprehensive mathematical analysis to convincingly verify the individual's identity. The algorithms used and mathematical methods differ depending on the type and quality of the optical device used to collect the image of the iris of the individual. Some of the iris recognition systems are immobile, while others are pocket devices that are often connected to an external database containing users' templates.
Infrared or visible light can be used in iris recognition systems. Systems based on close infrared light, or nir, are the most common because near infrared light does not create reflections that can make the iris recognition difficult. Unfortunately, the NIR images lack any information about the color of the pigment, so that algorithms of recognition must rely entirely on color -related patterns. The recognition of the iris founded inVisiblborni light will pick up pigmentation, so recognition systems are able to use color patterns that can identify much easier because pigmentation patterns contain a large amount of information that can be used for recognition. However, the visible reflections of the light in these systems may result in a significant amount of noise in the figures collected.
Many iris recognition systems are combined with other biometric identification systems or other identification identification methods. The chances of circumventing the combined fingerprint identification system and IRIS are relatively small, especially if some alternative identification, such as a passport or motto, is also required. However, other systems rely solely on the iris recognition systems because they have a very low potential for incorrect identification.