• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

指纹痕迹鉴定证据权重的定量评估 I. 从嫌疑人十指指纹中提取痕迹与一组痕迹进行比较的推广。

Quantitative assessment of evidential weight for a fingerprint comparison I. Generalisation to the comparison of a mark with set of ten prints from a suspect.

机构信息

Forensic Science Service, 2920 Solihull Parkway, Birmingham Business Park, Birmingham B37 7YN, United Kingdom.

出版信息

Forensic Sci Int. 2011 Apr 15;207(1-3):101-5. doi: 10.1016/j.forsciint.2010.09.006. Epub 2010 Oct 20.

DOI:10.1016/j.forsciint.2010.09.006
PMID:20965673
Abstract

The authors have published elsewhere a quantitative method for assessing weight of evidence in the case where a finger mark from a crime scene is compared with a control print taken from a single finger of a suspect. The approach is based on the notion of calculating a likelihood ratio (LR) that addresses a pair of propositions relating to the single finger that was the origin of the crime mark. In practice, things are rather different because the crime mark will not just be compared with a single finger from a suspect but with a set of prints from all of his/her fingers; likewise, when the mark is compared with a database, this will consist of ten print records from random individuals. It is clear that "finger propositions" are not realistic in this situation and we show how our approach may be generalised to address a pair of propositions that relate to the person that made the crime mark. It often is the case that information is present at the crime scene that enables some inference to be drawn relating to which of the offender's ten fingers left a particular mark of interest. This kind of inference may profitably be drawn into the formal analysis. We illustrate our approach with an example.

摘要

作者曾在其他地方发表过一种定量方法,用于评估在将犯罪现场的指纹与嫌疑人单指采集的控制指纹进行比较的情况下,证据的权重。该方法基于计算似然比(LR)的概念,针对与犯罪标记起源的单个手指相关的两个命题。实际上,情况要复杂得多,因为犯罪标记不仅要与嫌疑人的单个手指进行比较,还要与嫌疑人所有手指的一组指纹进行比较;同样,当将标记与数据库进行比较时,数据库将包含十个随机个体的指纹记录。显然,在这种情况下,“手指命题”不切实际,我们展示了如何将我们的方法推广到解决与制作犯罪标记的人相关的一对命题。在犯罪现场通常存在一些信息,可用于推断出留下特定感兴趣标记的罪犯的十个手指中的哪一个。这种推断可以有益地纳入正式分析。我们用一个例子来说明我们的方法。

相似文献

1
Quantitative assessment of evidential weight for a fingerprint comparison I. Generalisation to the comparison of a mark with set of ten prints from a suspect.指纹痕迹鉴定证据权重的定量评估 I. 从嫌疑人十指指纹中提取痕迹与一组痕迹进行比较的推广。
Forensic Sci Int. 2011 Apr 15;207(1-3):101-5. doi: 10.1016/j.forsciint.2010.09.006. Epub 2010 Oct 20.
2
Quantitative assessment of evidential weight for a fingerprint comparison. Part II: a generalisation to take account of the general pattern.指纹比对证据权重的定量评估。第二部分:考虑总体模式的推广。
Forensic Sci Int. 2012 Jan 10;214(1-3):195-9. doi: 10.1016/j.forsciint.2011.08.008. Epub 2011 Sep 1.
3
Evidence evaluation in fingerprint comparison and automated fingerprint identification systems--modelling within finger variability.指纹比对和自动指纹识别系统中的证据评估——手指变异性建模
Forensic Sci Int. 2007 Apr 11;167(2-3):189-95. doi: 10.1016/j.forsciint.2006.06.054. Epub 2006 Aug 17.
4
Operational benefits and challenges of the use of fingerprint statistical models: a field study.指纹统计模型使用的操作效益和挑战:一项现场研究。
Forensic Sci Int. 2011 Oct 10;212(1-3):32-46. doi: 10.1016/j.forsciint.2011.05.004. Epub 2011 Jun 2.
5
Evidence evaluation in fingerprint comparison and automated fingerprint identification systems--Modeling between finger variability.指纹比对和自动指纹识别系统中的证据评估——手指可变性的建模。
Forensic Sci Int. 2014 Feb;235:86-101. doi: 10.1016/j.forsciint.2013.12.003. Epub 2013 Dec 18.
6
Use of AFIS for linking scenes of crime.使用自动指纹识别系统来关联犯罪现场。
Forensic Sci Int. 2016 May;262:e25-7. doi: 10.1016/j.forsciint.2016.03.003. Epub 2016 Mar 12.
7
Computation of likelihood ratios in fingerprint identification for configurations of three minutiae.用于三个细节特征配置的指纹识别中似然比的计算。
J Forensic Sci. 2006 Nov;51(6):1255-66. doi: 10.1111/j.1556-4029.2006.00266.x.
8
Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios.基于自动指纹识别系统匹配分数的指纹证据评估:不同类型预处理对似然比的影响
J Forensic Sci. 2014 Jan;59(1):70-81. doi: 10.1111/1556-4029.12105. Epub 2013 Nov 1.
9
Modern statistical models for forensic fingerprint examinations: a critical review.现代法医指纹鉴定统计模型:批判性回顾。
Forensic Sci Int. 2013 Oct 10;232(1-3):131-50. doi: 10.1016/j.forsciint.2013.07.005. Epub 2013 Aug 23.
10
Quantifying the weight of fingerprint evidence through the spatial relationship, directions and types of minutiae observed on fingermarks.通过观察指印上的细节特征的空间关系、方向和类型来量化指纹证据的权重。
Forensic Sci Int. 2015 Mar;248:154-71. doi: 10.1016/j.forsciint.2015.01.007. Epub 2015 Jan 16.

引用本文的文献

1
Research on likelihood ratio evaluation method of fingerprint evidence based on parameter estimation method.基于参数估计方法的指纹证据似然比评估方法研究
Forensic Sci Res. 2024 Jan 11;9(1):owae002. doi: 10.1093/fsr/owae002. eCollection 2024 Mar.