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独立分量分析从重叠潜在指印测量的高光谱数据:独立分量图像的法证潜力。

Independent component analysis of hyperspectral data measured from overlapping latent fingermarks: Forensic potential of independent component images.

机构信息

Waseda Research Institute for Science and Engineering, Waseda University, Shinjuku, Tokyo 169-8555, Japan.

Physics Section, National Research Institute of Police Science, Kashiwa, Chiba 277-0882, Japan.

出版信息

Forensic Sci Int. 2023 Feb;343:111549. doi: 10.1016/j.forsciint.2022.111549. Epub 2022 Dec 29.

DOI:10.1016/j.forsciint.2022.111549
PMID:36634431
Abstract

Overlapping fingermark images are sometimes discarded because fingermark collation for the individual fingermarks is difficult. Fluorescence hyperspectral data (HSD) measured using the models of double overlapping fingermarks obtained under the excitation of a high-power, continuous wave, green laser is suitable for obtaining individual fingermark images. However, there are limitations such as the problems on each spectrum of the individual fingermark and the forensic value of the obtained images. In this study, independent component analysis (ICA) was applied to the fluorescence HSD obtained from the models of doubly overlapping fingermarks, to obtain independent component (IC) spectra and the corresponding IC images. Forensic value of the obtained IC images was examined, considering the possibility of fingermark collation in masked fashion to the model sample information. The IC images obtained from the HSD had enough potential to enable extracting twelve minutiae required for fingermark collation if the image quality was good.

摘要

有时会丢弃重叠指纹图像,因为对单个指纹进行指纹比对比较困难。使用高功率连续波绿光激发获得的双重叠指纹模型测量的荧光高光谱数据(HSD)适合获取单个指纹图像。然而,存在一些问题,例如每个单个指纹光谱的问题以及获得的图像的法医学价值。在这项研究中,对从双重叠指纹模型获得的荧光 HSD 应用独立成分分析(ICA),以获得独立成分(IC)光谱和相应的 IC 图像。考虑到以蒙面方式向模型样本信息进行指纹比对的可能性,对获得的 IC 图像的法医学价值进行了检查。如果图像质量良好,从 HSD 获得的 IC 图像具有足够的潜力,可以提取用于指纹比对的 12 个特征点。

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