Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%

Queiroz, Leonardo Mendonça Oliveira de; Lai, Kenneth; Yanushkevich, Svetlana; Shmerko, Vlad

doi:10.48550/arxiv.2201.00461

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…This advanced recognition tool is characterized by a set of attractive features for purposes of an experimental examination, in particular: 1) parallel paths which provide better performance compared to ResNet while having the same complexity; 2) cardinality which controls the number of parallel paths; and 3) feature pyramid network to optimize features maps in upper layers. Details of this experiment are provided in [121].…”

Section: ) Datasets and Toolsmentioning

confidence: 99%

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Post-Pandemic Follow-Up Audit of Security Checkpoints

et al. 2023

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This paper provides a follow-up audit of security checkpoints (or simply checkpoints) for mass transportation hubs such as airports and seaports aiming at the post-pandemic R&D adjustments. The goal of our study is to determine biometric-enabled resources of checkpoints for a counter-epidemic response. To achieve the follow-up audit goals, we embedded the checkpoint into the Emergency Management Cycle (EMC) -the core of any doctrine that challenges disaster. This embedding helps to identify the technologysocietal gaps between contemporary and post-pandemic checkpoints. Our study advocates a conceptual exploration of the problem using EMC profiling and formulates new tasks for checkpoints based on the COVID-19 pandemic lessons learned. In order to increase practical value, we chose a case study of face biometrics for an experimental post-pandemic follow-up audit. INDEX TERMSSecurity checkpoints, border control, mass-migration, follow-up audits, biometrics, counter-epidemic measures, post-pandemic, emergency management cycle, self-sovereign identity. NOMENCLATURE EMC Emergency Management Cycle. JHA Justice and Home Affairs. IR Infrared. R&D Research and Development. SSI Self-Sovereign Identity. Biosecurity Measures to mitigate the risks. of infectious diseases. Distributed ledger A database spreading across multiple sites or institutions. Vaccination passport A personal digital counter-epidemic certificate. Periocular biometric Area of a face around the eyes. The associate editor coordinating the review of this manuscript and approving it for publication was Vincenzo Conti .

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Section: ) Datasets and Toolsmentioning

confidence: 99%

“…The results of the detector for experimental audit agree with the reported results. Details of the experiment are given in [121].…”

Section: ) Experimental Examination I: Mouth and Nose Cover Detectionmentioning

confidence: 99%

Post-Pandemic Follow-Up Audit of Security Checkpoints

et al. 2023

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“…Since we are attempting to recognize faces while they are obscured by masks, we need to be able to do so with less information than is available in the standard face dataset. Since there are fewer data to learn from, accurate subject recognition becomes more difficult when the faces of the subjects being studied are obscured or masked [23]. Therefore, it is necessary to identify an appropriate model and approach for this.…”

Section: Introductionmentioning

confidence: 99%

Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques

Akingbesote,

Zhan,

Maskeliūnas

et al. 2023

Algorithms

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The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing. The COVID-19 pandemic has led to an increase in mask-wearing, which poses a challenge for face recognition systems. The proposed model uses Pareto optimization to balance accuracy and computation time, and data preprocessing techniques to address the issue of masked faces. The evaluation results demonstrate that the model achieves high accuracy on both masked and unmasked faces, outperforming existing models in the literature. The findings of this study have implications for improving the performance of face recognition systems in real-world scenarios where mask-wearing is prevalent. The results of this study show that the Pareto optimization allowed improving the overall accuracy over the 94% achieved by the original FaceNet variant, which also performed similarly to the ArcFace model during testing. Furthermore, a Pareto-optimized model no longer has a limitation of the model size and is much smaller and more efficient version than the original FaceNet and derivatives, helping to reduce its inference time and making it more practical for use in real-life applications.

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Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%

Cited by 2 publications

References 30 publications

Post-Pandemic Follow-Up Audit of Security Checkpoints

Post-Pandemic Follow-Up Audit of Security Checkpoints

Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques

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