08 September 2025 | Monday | News
Picture Courtesy | Public Domain
ROC, the only American-made multimodal biometrics and Vision AI provider, announced industry-leading results in the latest NIST Evaluation of Latent Fingerprint Technologies (ELFT). ROC achieved the lowest Rank-5 error rate on FBI datasets, the second-lowest of any Western vendor on DoD benchmarks, and the fastest search speeds of any vendor tested.
The NIST Evaluation of Latent Fingerprint Technologies (ELFT) is the leading benchmark for automated latent fingerprint recognition. It measures both accuracy and search speed using partial, low-quality impressions collected from operational probes. By testing algorithms against large reference databases, ELFT provides a transparent, standardized assessment of how systems perform under the same challenging conditions faced in real forensic work.
Rank-5 accuracy is a critical benchmark because it mirrors how latent fingerprint systems are used in practice. In operational scenarios, forensic examiners do not depend on a single top match; instead, they evaluate a shortlist of candidate identities returned by the system. A consistently low Rank-5 error rate means the correct identity appears within that shortlist, giving examiners the confidence to act quickly. This measure directly reflects how well a system supports law enforcement, defense, and intelligence agencies in turning difficult latent prints into actionable leads.
"This is just the beginning of what our next-generation latent fingerprint technology can do," said Dr. Brendan Klare, Chief Scientist and Co-Founder, ROC. "With each improvement, law enforcement and intelligence missions move closer to tools that expand search capacity, return better leads, and deliver faster results—all powered by American-built technology."
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