FATE AEV is an ongoing evaluation of software algorithms that inspect photos of a face to produce an age estimate. The output is set of reports on the accuracy and computational efficiency of …
Read moreNIST FRTE 1:N benchmark measures the accuracy and speed of one-to-many face recognition identification algorithms searching enrolled galleries containing at least 10 million identities. It is the continuation of the former FRVT tests. July 2024 …
Read moreNIST Evaluation of Latent Fingerprint Technologies (ELFT) consists of evaluations of the accuracy of latent matching using features marked by experienced human latent fingerprint examiners. This test aims to evaluate the current state of …
Read moreThe IREX 10: Identification Track assesses iris recognition performance for identification (a.k.a one-to-many) applications. Most flagship deployments of iris recognition operate in identification mode, providing services ranging from prison management, border security, expedited processing, and distribution of …
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