Introduction
The accuracy of modern fingerprint technology heavily relies on the image capture quality, the ability to sidestep spoofing attempts and the capacity to match fingerprints accurately.
If fingerprint recognition systems aren’t able to maintain higher levels of data security and matching accuracy, it means they’re a problem and not a solution to people and institutions who depend on them.
This piece of content will show how to evaluate fingerprint recognition accuracy levels of systems to determine whether they’re accurate. Let’s go through the following sections to unearth more.
Fingerprint Recognition Accuracy
Fingerprint recognition involves people’s identity verification by capturing, storing, analysing, matching and identifying unique patterns and characteristics of fingerprints. For many years, fingerprint recognition has been utilised as an identification and authentication method. With technological advancements, this solution has only become accurate.
Fingerprint recognition systems use modern scanners to capture fingerprint photos with high resolution using software and sophisticated algorithms. With these digital features, the technology has greatly enhanced its levels of accuracy in terms of fingerprint recognition. As a result, it’s currently more efficient and reliable when it comes to identification of people.
Digital fingerprint scanners and recognition systems have the ability to capture and analyse even minor fingerprint details. That means even subtle dissimilarities in the ridges and patterns of fingerprints can be easily identified and compared with existing images to identify and recognise a perfect match.
Also, this technology can now identify latent prints. These are fingerprints that the naked eye can’t see. Such fingerprints can only be identified through chemical processing, but modern fingerprint scanners can identify them.
How Accurate Are Fingerprint Scanners?
NIST is the institution behind determining fingerprint recognition accuracy. It has a series of fingerprint matching and recognition technology evaluations known as the Proprietary Fingerprint Template. NIST runs these evaluations to evaluate one-to-one matching performance, as well as accuracy with proprietary template levels.
You can see examples of company PFT III evaluation is designed to allow each participant to perform the testing. Each participate uses biometric data that NIST provides, using its testing protocol and testing environment. And after each participant submits the results to the institution, it performs further evaluation to confirm the outcomes.
PFT III evaluation offers more accurate results as it uses ten-finger and two-finger sets of data to provide results on roll-to-roll, slap-to-roll and slap-to-slap matching. And what is more? It reports one-to-many matching outcomes.