Biometrics and Custom Identification Badges Provide Added Security

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Biometrics are precise measurements and characteristics of individual characteristics. They include fingerprints, retinal scans, iris marks, palm print impressions, hand prints, finger prints and the likes. Biometrics is generally used in biometric security systems as a type of access and identity verification.

 

There are many ways through which biometrics can be collected, such as: collecting finger prints from an individual; using digital cameras to take photos; tapping the face; or by extracting data from a person’s blood. The extracted data is then processed via algorithms. Based on the extracted biometric data, algorithms determine whether or not the individual in question has that characteristic. For instance, iris patterns are extracted from the eye by using an iris recognition algorithm. If that algorithm matches the extracted iris pattern, it identifies the person. Such methods can be useful in determining a person’s identity, especially when the individual bears no physical signs of having a particular characteristic.

 

In the past, biometrics were hard to duplicate, making identification very difficult. Using custom made id card templates as a starting point can be helpful. Modern biometric technologies however, have dramatically improved since they were first introduced. Nowadays, there are numerous ways through which fingerprints and other biometric data can be collected. Some methods are better than others however. Some are very good, while some are less effective.

 

Eye-print recognition has been around for years. In this method, iris images are captured from individuals’ eyes and compared to stored iris images in a database. With this method, the success rate of getting a positive match is ninety nine percent or better. This is one of the biometric factors that have a high level of accuracy.

 

However, it requires manual intervention. During manual authentication, if a person looks at a document and points to an area of the document that he wants to verify as being present in the same region where the fingerprint is located, then that person can be considered as having found and identified his fingerprint. The catch here however is that the person who has detected the presence of another fingerprint will not necessarily know that the finger that he has pointed is his own. In other words, if he did not catch the finger from which another person’s fingerprint is located, then the fingerprint that he has detected can still be considered as authentic.

 

Digital fingerprints however, have a much higher level of accuracy. The digital fingerprinting method uses digital patterns instead of fingerprints. The digital patterns are captured by an sensors. Then these are compared to the physical characteristics of the fingerprint. With a high degree of accuracy, this process has become one of the most secure security measures available. However, due to the fact that there is a need to store the digital fingerprints of individuals, there is also a need to make the stored digital fingerprints as difficult to imitate as possible.

 

The iris recognition biometrics, on the other hand, is considered the most practical form of biometrics. This is because it has a higher level of accuracy than any other biometric. However, there are some limitations to iris recognition. For instance, an individual who desires to use iris recognition for authentication may require a great deal of time just to find the right mark that would authenticate him. Furthermore, iris recognition has a great time complexity that can only be overcome through the use of biometrics.

 

Biometrics and fingerprints, or any other biometric factors, can also be combined. For instance, iris recognition can be combined with hand motion sensors, voice recognition, or fingerprint readers. However, when biometrics and fingerprints are combined, the data can still only be verified using one of the aforementioned types of biometric factors. These factors include fingerprint readers, voice recognition devices, and finger print readers.

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