Eberly College of Science, The Pennsylvania State University, University Park, PA 16802, USA.
Forensic Sci Int. 2012 Jan 10;214(1-3):195-9. doi: 10.1016/j.forsciint.2011.08.008. Epub 2011 Sep 1.
The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers 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 individual who left the crime mark. The current method considers only information extracted from minutiae, such as location, direction and type. It does not consider other information usually taken into account by fingerprint examiners, such as the general pattern of the ridge flow on the mark and the control prints. In this paper, we propose an improvement to our model that allows a fingerprint examiner to take advantage of pattern information when assessing the evidential weight to be assigned to a fingerprint comparison. We present an extension of the formal analysis proposed earlier and we illustrate our approach with an example.
作者提出了一种定量方法来评估案件中现场指纹与嫌疑人十指一组控制指纹进行比对的证据权重。该方法基于计算似然比 (LR) 的概念，该似然比针对与留下犯罪痕迹的个人有关的两个命题。目前的方法仅考虑从细节特征（如位置、方向和类型）提取的信息。它不考虑指纹鉴定人通常考虑的其他信息，例如痕迹和控制指纹上的脊流的一般模式。在本文中，我们对我们的模型进行了改进，允许指纹鉴定人在评估分配给指纹比对的证据权重时利用模式信息。我们提出了对早期提出的正式分析的扩展，并通过一个例子来说明我们的方法。
