tunnistustarkkuutta
Tunnistustarkkuutta refers to the accuracy of identification. In fields like biometrics, it measures how correctly a system can identify an individual from a given set of data. This can involve comparing a live sample, such as a fingerprint or facial scan, against a database of stored templates. A high tunnistustarkkuutta indicates that the system rarely makes false positives (incorrectly identifying someone) or false negatives (failing to identify someone correctly).
Several metrics are used to quantify tunnistustarkkuutta, including the False Acceptance Rate (FAR) and the False
The reliability of tunnistustarkkuutta can be influenced by various factors. These include the quality of the