Face recognition vendor test 2002 performance metrics
P Grother, R Michaels, Jonathon P. Phillips · 2003
We present the methodology and recognition performance characteristics used in the Face Recognition Vendor Test 2002.We refine the notion of a biometric imposter, and show that the traditional measures of identification and verification performance, are limiting cases of the open-universe watch list task.The watch list problem generalizes the tradeoff of detection and identification of persons of interest against a false alarm rate.In addition, we use performance scores on disjoint populations to establish a means of computing and displaying distribution-free estimates of the variation of verification vs. false alarm performance.Finally we formalize gallery normalization, which is an extension of previous evaluation methodologies; we define a pair of gallery dependent mappings that can be applied as a post recognition step to vectors of distance or similarity scores.All the methods are biometric non-specific, and applicable to large populations.