One of the most advanced inventions in science is the use of biometrics to establish the identity of an individual based on their physical, chemical or behavioral attributes Biometrics provides a solution to facilitate identity management for any organization to maintain personnel records. There are two schemes, such as automated and semi-automated, to identify people based on their Biological characteristics. There are many biometric technologies which have been proposed and implemented as well, such as voice, face, signature, hand geometry, retina, and fingerprint scanner.

While intramodal biometric fusion is another advanced addition to this convenient invention to improve biometric search performance.

Here are some factors where the improvement led to achieving the effective result.

1. Increasing use of multiple algorithms

A recent improvement in biometrics is the increasing use of multiple algorithms that work within the same modality to perform the search. It can be used as the use of several algorithms from different providers in the same search, which will help to generate strength of each one to compensate for the weaknesses of the others. Data growth can make search results more complex, resulting in a false match. This helps authenticate the data with an absolute result. Using a different algorithm may provide a more authentic result. Some biometric search algorithms see a match and some see a mismatch, it all depends on the organization’s use of different algorithms. Facial biometrics needs more authentic algorithms to detect the high-quality image.

2. Statistical nature of biometrics

One of the important enhancements, the statistical nature of biometrics, plays a crucial role in bringing out the real static. The identification of a candidate needs to compare the personal characteristics of a person with the database. The biometric system shows the result in numbers and the result of each individual is unique in this. An authentic result is important, different biometric system has different fingerprint scanner to compare the results from the collected database. For the huge database, the statistical nature of a biometric plays a fundamental role in getting the actual result and it becomes more difficult when a database exceeds a particular number, such as when the data reaches millions. Intramodal biometric fusion facilitates the delivery of the authentic result.

3. Biometric matching algorithm

Biometric matching algorithms allow techniques to compare result samples. A biometric search system applies different algorithms to use the machine exactly as our brains do. Intramodal biometric fusion has been successfully solving this problem and delivering the processed images. Classification and comparison can only be possible with properly designed algorithms that can handle features and conditions effectively and appropriately. There is only 1 in a database of a million candidates that occurs as a false match and it may just as well be possible as there is no biometric that will provide an absolutely authentic result. However, intramodal biometric fusion has the ability to deliver the best possible result with the highest correct match.

Conclution

In order to deliver the best result with efficiency and effectiveness, technology has been continuously dedicating its part and the intramodal biometric fusion it is definitely a boon for any organization.