Thales proves top-tier performance in forensic biometrics with AI-improved algorithm

 Government Biometrics Public Security Digital Identity and Security
ELFT (Evaluation of Latent Friction Ridge Technology) by NIST is the reference biometric technology assessment protocol related to latent print identification. ELFT evaluates the capacity of a solution to process accurately and efficiently incomplete or low-quality prints – such as those lifted from crime scenes. 

 
Over the past years, Thales has been steadily investing in its research on latent finger and palm print recognition – and its recent results in ELFT confirms the top-tier performance of its technology. Thales’ latest algorithm is a distillation of innovations and display leading scores on many assessed dimensions. 

With a hit rate of 91.9%* at rank 1, Thales delivers outstanding results. Moreover, Thales algorithm uses less than half the computing power required by other vendors. It is by far the fastest among all participating suppliers’ – comparatively more than 50% faster than any other vendor’s – allowing Thales to deliver excellent accuracy at lower costs and with greater energy efficiency. 

 

In addition, Thales sees a 44% improvement of its performance on Detection Error Tradeoff (DET), measuring the balance between false positive and false negative. This major enhancement brings sizeable reduction of operating costs – such as unnecessary practitioner time spent manually comparing prints on weak hits.

ELFT results speak to Thales’ commitment not only to provide world-class biometric algorithms – but also innovative solutions with unrivalled performance, built with operational concerns in mind.
 
Thales is the trusted supplier of dozens of security forces around the world – nearly 100 Thales ABIS are today used for their forensic duties. 

 
* Cumulative Match Characteristic (CMC) / FBI-Provided Solved Dataset #1 / Probes with EFS Data / Image + EFS. This refers to the percentage of times that the correct subject appears at or above a rank 1 in the candidate list.

 


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