More details are provided below.Ī new Participation Agreement for the FRVT Ongoing 1:N track has been published. To participate in this evaluation, developers need to submit a participation agreement to NIST, wrap their software behind the published C++ API, run their libraries through the provided validation package (which creates a submission package), encrypt the package, and provide a download link for the encrypted submission package.

The handlingĪnd accuracy consequences of this are detailed on this slide.Īll prior Ongoing FRVT 1:N reports can be accessed from here. Occurs in approximately 3% of border images and 7% of kiosk images. The algorithm to detect and produce templates from multiple faces in one image, which The values in blue correspond to a change in the FRVT API on that allows In all cases, each person is enrolled with one image only. The images are described in the section 2 of the report. Gallery the second row shows the search image type the third row shows the The first row in the header shows the type of image enrolled in the The use of thresholding supports use ofįace recognition in making mostly automated decisions e.g. for access intoįacility. The threshold is set for eachĪlgorithm and each column separately. Producing one or more candidates above threshold.

FPIR is the proportion of non-mated searches

FNIR is the proportion of mated searches failing to return Where a threshold is set to limit to the False Positive Identification Rate The table below shows False Negative Identification Rates (FNIR) for the case

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