An Automated Fingerprint Identification System, or AFIS, is a computer system that provides automated search capabilities for fingerprints. This technology is used for identifying and matching fingerprints and archiving and cataloging them.

The system consists of an input unit to store fingerprint images and an output unit that displays the potential matches from the records database. It may also include a processing unit that locates minutiae points on the fingerprint image and assigns classification codes based on their location in the pattern.

The Automated Fingerprint Identification System associates the fingerprint image with attribute data for each potential match. This is accomplished by using a correlation process similar to human operators. The system operates in two ways:

(1) Enumeration and Compilation:
The operator enters data about the candidate (such as name, sex, birth date, and race) into the system using an input device. The computer then searches for all sets of fingerprint records that have been entered with similar information and displays them on the output unit.

(2) Fingerprints Only:
The operator enters fingerprint data, and the system searches for all candidate sets of fingerprints in its database. One advantage to this Automated Fingerprint Identification System is that there is no limit to the number of candidates or types of information that officials can enter. Another is that it can provide information about the candidate's scars and other physical characteristics. However, a disadvantage is that it cannot provide additional information about candidates besides their fingerprints.

What is fingerprint recognition biometric technology?

Fingerprint recognition biometric technology is a biometric system that uses an individual's fingerprint characteristics to identify them. This can be used in various applications and can provide access control, identify an individual or authenticate them with their consent or law enforcement. There are two effective fingerprint recognition biometric systems; pre-print and post-print.

Several systems have been developed, including digital fingerprint scanners, handprint recognition systems, hand geometry, and physiology systems. Recent developments include iris, retina, and voice recognition-based solutions. Fingerprint recognition biometric technology is often combined with USB technology to allow the user to identify themself from various personal devices such as computer keyboards, mobile phones, and printers.

Authorities can also use Fingerprint recognition biometric technology to provide keyless entry. This is primarily where the key is difficult to store or valuable and difficult to replace, such as in hotel rooms or health and fitness facilities.

Usually requiring a high level of security, biometric fingerprint systems are designed around general solid principles. Components used in the system vary based on the application but generally fall into one of four major categories; scanner design, processor design, database design, and user interface design. Each of these design elements requires careful consideration to ensure the system's success in its application.

Fingerprint matching is based on the theory that no two individuals have been found to have identical fingerprints and that a person's fingerprint doesn't change at all during their lifetime. In addition, fingerprints can't be easily copied or forged, making them an ideal form of authentication. The first step in matching an individual's fingerprint is scanning and digitizing it, creating a template.

Types and Benefits of fingerprint recognition biometric technology:

Fingerprint recognition biometric technology has been a widely used system for people to identify themselves and their fingerprints. The most common fingerprint recognition biometric technology types are capacitive, optical, and RFID. These three systems are vastly different from each other, but they have one thing in common; they read the ridges and valleys on your fingertip that are then converted into a digital code.

One of these scans will cost you an arm or leg, whereas another may be free. Therefore, the price of the fingerprint recognition biometric technology is a massive factor in whether or not companies will choose to purchase it. Because the price is such an important factor, I have to look at the cost of each scanner.

One of the most expensive Fingerprints recognition biometric technology is the optical scanner. Optical scanners are becoming more popular than RFID and capacitive scanners because they read more than just your fingerprint, as these other two systems do. Optical scanners can read veins, irises, and faces, for example. So the optical scanner is an excellent choice for those who want to capture everything about your person because of all of these other options.

RFID is another type of fingerprint recognition biometric technology that can work well. This technology is a more portable scanner than the capacitive scanner and optical scanner, and it can be used in many different ways, like when you go through a checkpoint, purchase items, and more. On the other hand, RFID is not as good at reading the ridges on your fingers, but it can read them at close ranges.

Author's Bio: 

Digital Reputation & Google Brand Making