基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

李文杰 孙令辉 游伟 田师思 王利雪 赵雅彬 李展平

引用本文: 李文杰, 孙令辉, 游伟, 田师思, 王利雪, 赵雅彬, 李展平. 基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别[J]. 分析化学, 2022, 50(1): 112-118. doi: 10.19756/j.issn.0253-3820.210555 shu
Citation:  LI Wen-Jie,  SUN Ling-Hui,  YOU Wei,  TIAN Shi-Si,  WANG Li-Xue,  ZHAO Ya-Bin,  LI Zhan-Ping. Gender Recognition of Fingerprint Remnant Based on Time-of-Flight Secondary Ion Mass Spectrometry Imaging Signal of Fingerprint Substance[J]. Chinese Journal of Analytical Chemistry, 2022, 50(1): 112-118. doi: 10.19756/j.issn.0253-3820.210555 shu

基于指纹物质飞行时间二次离子质谱成像信号的指纹遗留人性别识别

    通讯作者: 赵雅彬,E-mail:zhaoyb04@gmail.com; 李展平,E-mail:Zhanpingli@mail.tsinghua.edu.cn
  • 基金项目:

    国家重点研发计划项目(No.2018YFA0702600)和中国人民公安大学基本科研课题项目(No.2021JKF219)资助。

摘要: 飞行时间二次离子质谱成像技术(TOF-SIMSI)不仅可获取指纹的三级特征,还能获取物质信息,为案件现场提取到的残缺指纹的证据价值提供了更多可能。本研究利用TOF-SIMS技术结合多层感知器神经网络探究基于指纹物质离子信号进行人群性别特征分析的可行性。首先通过独立样本T检验对利用TOF-SIMS检测出的所有志愿者共有的107种指纹物质离子信号进行样本差异性分析,并筛选出差异显著的离子信号,再利用主成分分析降维后输入到多层感知器神经网络中进行性别分类识别。结果表明,本方法正确判别男性的概率约为85%,正确判别女性的概率约为95%,总样本正确率约为90%。本研究为深入挖掘残缺指纹多维信息提供了一种有效方法。

English


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  • 收稿日期:  2021-06-08
  • 修回日期:  2021-09-21
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