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• W4385597718 abstract "In large-scale natural disasters and special criminal cases, surface features of bodies, such as faces and fingerprints, are easily destroyed. Teeth possess strong high-temperature resistance, corrosion resistance, and high hardness, which can compensate for the shortcomings of the aforementioned situations. This paper proposes an identification method based on the aggregated features of multi-scale dental impression images. Firstly, a method exploiting the adaptive object detection method based on YOLOv8 is proposed to segment toothprints. Next, a novel geometric feature named calibrated offset distance is extracted, combined with the SIFT feature method, to extract multi-scale and multi-dimensional features from the global toothprint, local toothprints, and single-tooth prints. Finally, all features are aggregated to enhance the descriptive ability and robustness. Experimental results indicate that the method proposed in this paper demonstrates good identification performance." @default.
• W4385597718 created "2023-08-05" @default.
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• W4385597718 date "2023-12-01" @default.
• W4385597718 modified "2023-10-12" @default.
• W4385597718 title "A novel method of human identification based on dental impression image" @default.
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• W4385597718 doi "https://doi.org/10.1016/j.patcog.2023.109864" @default.
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