Image Recognition
“Defining measures and metrics that are relevant for end users and stakeholders, not just arbitrary error rates, like false positive identification rates and false negative identification rates.”The agency chose 16 biometric systems to participate in S&T’s test. Most of the biometric systems succeeded in only processing a specific, consenting participant under a three second benchmark. A more unique feature in these biometric systems was the incorporation of skin tone into the algorithms. Sirion noted that such differentiation demonstrates the need for biometric cameras to be properly configured. The S&T published the results of the rally publicly online, and is open to acting as a broker between the companies manufacturing the biometric systems and interested government parties.