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Evaluation of AFIS-Ranked Latent Fingerprint Matched Templates

机译:评估AFIS排名的潜在指纹匹配模板

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The methodology currently practiced in latent print examination (known as ACE-V) yields only a decision as result, namely individualization, exclusion or inconclusive. From such a decision, it is not possible to express the strength of opinion of a forensic examiner quantitatively with a scientific basis to the criminal justice system. In this paper, we propose a framework to generate a score from the matched template generated by the forensic examiner. Such a score can be viewed as a measure of confidence of a forensic examiner quantitatively, which in turn can be used in statistics-based evidence evaluation framework, for e.g, likelihood ratio. Together with the description and evaluation of new realistic forensic case driven score computation, we also exploit the developed experimental framework to understand more about matched templates in forensic fingerprint databases.
机译:目前在潜在的打印检查(称为ACE-V)中实行的方法仅产生决定,即个性化,排除或不确定。 从这种决定中,在刑事司法系统中,不可能以科学依据表达法医审查员的意见。 在本文中,我们提出了一个框架,以从法医审查员产生的匹配模板生成分数。 这样的分数可以被视为定量法医检查员置信度的衡量标准,这又可以用于基于统计的证据评估框架,例如,似然比。 与新的现实法医案例驱动得分计算的描述和评估一起,我们还利用了开发的实验框架来了解法医指纹数据库中的更多关于匹配模板的更多信息。

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