ZipID employs a 1:1 biometric facial authentication match, also known as "verification," to assure that a hire is who they say they are, and the ID they present is their own. Typically, a 1:1 match is shorthand for describing a process in biometric security systems where the system compares a captured facial image of an individual (in our case a live selfie in most instances) to a single stored image (in our case, the government issued face image on the presented ID) that is confirmed as belonging to that individual, thus positively assuring identity while helping prevent against identity fraud.
Our measures comply with requirements issued by the National Institute of Standards and Technology (NIST). Here’s how we do it:
Capture: An image of the individual's face is captured in real-time through a camera or similar device.
Comparison: This captured image is then compared to the pre-stored image associated with a claimed identity on the ID.
Authentication: If the features extracted from the newly captured image match those of the ID image with sufficient accuracy, the identity claim is confirmed as genuine; otherwise, the result is a no match.
In the case of ZipID, we do a 1:1 check to determine if the claimed ID document matches the selfie of the new hire.
The key aspect of 1:1 matching is that it is used for verifying the identity of a user claiming to be someone specific, as opposed to identifying an unknown individual from a large pool of stored biometric data, which would be a 1:N (one-to-many) match.