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PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition. (arXiv:2211.12483v1 [cs.CV])
Nov. 23, 2022, 2:15 a.m. | Pedro C. Neto, Ana F. Sequeira, Jaime S. Cardoso, Philipp Terhörst
cs.CV updates on arXiv.org arxiv.org
In the context of biometrics, matching confidence refers to the confidence
that a given matching decision is correct. Since many biometric systems operate
in critical decision-making processes, such as in forensics investigations,
accurately and reliably stating the matching confidence becomes of high
importance. Previous works on biometric confidence estimation can well
differentiate between high and low confidence, but lack interpretability.
Therefore, they do not provide accurate probabilistic estimates of the
correctness of a decision. In this work, we propose a …
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