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Latent fingerprint software improvements save police time with higher accuracy
The technology behind latent fingerprint collection and matching is subject to the same forces as other biometric modalities and use cases.
The process evaluated by ELFT involves fully automatically ingesting an image, extracting relevant information and comparing it to the reference database to find a match, he explains. Idemia introduced AI to fingerprint biometrics cautiously “because we wanted to make sure that we have a level of control over the technology that we had over the more classical algorithms, if you will,” Bouatou says. In contrast with other modalities, which Bouatou notes have reached “ninety-nine point something percent” accuracy in independent testing, “latent work is still very close to our hearts because it’s the hardest.”
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