基于Python编程语言的手印证据价值的定量评估
Quantitative Evaluation of Fingerprint Evidence Value Based on Python
摘要
Abstract
A deep learning-based method for recognizing the minutiae in fingerprint,as well as a Python programming-based evaluation system for quantifying the evidence value of fingerprint was proposed.Firstly,latent fingerprints,which were developed using a series of fluorescent nanomaterials synthesized by chemical methods,were used as unknown fingerprint(UKFP),while ink impressed fingerprints were used as known fingerprint(KFP).Then,the bifurcations and terminations in minutiae were recognized using the improved YOLOv8 deep learning model.After that,the similarity index(Sim.)of UKFP vs KFP were calculated by analyzing the angle similarity factor(α)and the curve similarity factor(β)between UKFP and KFP,meanwhile,the sensitivity index(Sen.)were calculated by analyzing the fineness factor(γ)between UKFP and KFP.The evidence value(EV)of fingerprint was thus obtained by the combination of Sim.and Sen..The calculation formulas for above evaluation factors(i.e.α,β and γ),evaluation indexes(i.e.Sim.and Sen.),and EV were also put forward.Finally,the evaluation system for quantifying the evidence value of fingerprint was established,the feasibility and reliability of this system were verified,and the external factors that impacted on Sim.,Sen.,and EV were investigated in detail.The Python-based evaluation system for quantifying the evidence value of fingerprint could achieve the goals objectively,comprehensively,accurately and efficiently,exhibiting easy operability,high efficiency,responsiveness and reliability.This research was expected to provide beneficial references for quantitatively evaluating and thoroughly developing the evidence value.关键词
手印显现/手印鉴定/纳米材料/深度学习/证据价值Key words
Fingerprint development/Fingerprint identification/Nanomaterials/Deep learning/Evidence value引用本文复制引用
徐致泽,王猛,马榕蔚,李杰,李明,袁传军..基于Python编程语言的手印证据价值的定量评估[J].分析化学,2025,53(4):590-601,中插12-中插22,23.基金项目
国家自然科学基金项目(No.21205139)、辽宁省应用基础研究计划项目(No.2023JH2/101300097)、辽宁省2020年百千万人才工程项目、辽宁省教育厅科学研究经费项目(Nos.LJKZ0068,LJKMZ20220384)、辽宁省教育科学"十四五"规划2024年度课题项目(No.JG24DB482)和中国刑事警察学院2024年研究生创新能力提升项目(No.2024YCYB62)资助. Supported by the National Natural Science Foundation of China(No.21205139),the Project of Applied Basic Research Program from Liaoning Province(No.2023JH2/101300097),the Liaoning BaiQianWan Talents Program in 2020,the Project from Educational Department of Liaoning Province(Nos.LJKZ0068,LJKMZ20220384),the Project of Education Science"14th Five-Year Plan"from Liaoning Province in 2024(No.JG24DB482)and the Innovation Ability Enhancement Project of Postgraduates from Criminal Investigation Police University of China(No.2024YCYB62). （No.21205139）
