Improving the evidential value of low-quality face images with aggregation of deep neural network embeddings

•An effective strategy to improve face recognition of low-quality facial images.•Validation of this strategy under forensically relevant challenging scenarios.•Cleaned versions of the BFW and Adience datasets are provided.•A new verification protocol for the Quis-Campi dataset. In forensic facial co...

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Bibliographic Details

Published in:	Science & justice Vol. 64; no. 5; pp. 509 - 520
Main Authors:	Ribeiro, Rafael Oliveira, Neves, João C., Ruifrok, Arnout, de Barros Vidal, Flavio
Format:	Journal Article
Language:	English
Published:	England Elsevier B.V 01.09.2024
Subjects:	Embedding aggregation Face comparisons Forensic evaluation Likelihood ratio Pathology Likelihood ratio Forensic evaluation Face comparisons Embedding aggregation
ISSN:	1355-0306, 1876-4452, 1876-4452
Online Access:	Get full text
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