Related papers: An Evaluation of Forensic Facial Recognition

An Evaluation of Forensic Facial Recognition

URL: http://arxiv.org/abs/2311.06145v1
Date: Fri, 10 Nov 2023 16:02:46 GMT
Title: An Evaluation of Forensic Facial Recognition
Authors: Justin Norman, Shruti Agarwal, Hany Farid
Abstract summary: We describe the construction of a large-scale synthetic facial dataset along with a controlled facial forensic lineup. We evaluate the accuracy of two popular neural-based recognition systems. We find that previously reported face recognition accuracies of more than 95% drop to as low as 65% in this more challenging forensic scenario.
Score: 16.17759191184531
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Recent advances in machine learning and computer vision have led to reported facial recognition accuracies surpassing human performance. We question if these systems will translate to real-world forensic scenarios in which a potentially low-resolution, low-quality, partially-occluded image is compared against a standard facial database. We describe the construction of a large-scale synthetic facial dataset along with a controlled facial forensic lineup, the combination of which allows for a controlled evaluation of facial recognition under a range of real-world conditions. Using this synthetic dataset, and a popular dataset of real faces, we evaluate the accuracy of two popular neural-based recognition systems. We find that previously reported face recognition accuracies of more than 95% drop to as low as 65% in this more challenging forensic scenario.

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