Algorithm development at Cognitec continues to engineer the optimal balance between speed and accuracy of face matching processes. The latest results of the U.S. NIST Face Recognition Vendor Test for identification tasks show the Cognitec algorithm in the best position of all algorithms when relating the template generation time to the false negative identification rate (miss rate) for mugshot databases.
The identification test addresses the largest market for face recognition applications, including detection of duplicates in image databases, and fraud detection during passport and driver’s license applications. These tests apply a very high matching threshold, where only 0.3 % (3/1000)
The identification test addresses the largest market for face recognition applications, including detection of duplicates in image databases, and fraud detection during passport and driver’s license applications. These tests apply a very high matching threshold, where only 0.3 % (3/1000)
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