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一项评估活动水平命题信件上指纹位置的研究。

A study into evaluating the location of fingermarks on letters given activity level propositions.

机构信息

Amsterdam University of Applied Sciences, Forensic Sciences, P.O. Box 1025, 1000 BA Amsterdam, the Netherlands; Netherlands Forensic Institute, Digital Technology and Biometrics, P.O. Box 24044, 2490 AA The Hague, the Netherlands; VU University Amsterdam, Criminology Department, De Boelelaan 1105, 1081 HV Amsterdam, the Netherlands.

Netherlands Forensic Institute, Digital Technology and Biometrics, P.O. Box 24044, 2490 AA The Hague, the Netherlands.

出版信息

Forensic Sci Int. 2020 Oct;315:110443. doi: 10.1016/j.forsciint.2020.110443. Epub 2020 Aug 2.

Abstract

A previous paper published in this journal proposed a model for evaluating the location of fingermarks on two-dimensional items (de Ronde, van Aken, de Puit and de Poot (2019)). In this paper, we apply the proposed model to a dataset consisting of letters to test whether the activity of writing a letter can be distinguished from the alternative activity of reading a letter based on the location of the fingermarks on the letters. An experiment was conducted in which participants were asked to read a letter and write a letter as separate activities on A4- and A5-sized papers. The fingermarks on the letters were visualized, and the resulting images were transformed into grid representations. A binary classification model was used to classify the letters into the activities of reading and writing based on the location of the fingermarks in the grid representations. Furthermore, the limitations of the model were studied by testing the influence of the length of the letter, the right- or left-handedness of the donor and the size of the paper with an additional activity of folding the paper. The results show that the model can predict the activities of reading or writing a letter based on the fingermark locations on A4-sized letters of right-handed donors with 98 % accuracy. Additionally, the length of the written letter and the handedness of the donor did not influence the performance of the classification model. Changing the size of the letters and adding an activity of folding the paper after writing on it decreased the model's accuracy. Expanding the training set with part of this new set had a positive influence on the model's accuracy. The results demonstrate that the model proposed by de Ronde, van Aken, de Puit and de Poot (2019) can indeed be applied to other two-dimensional items on which the disputed activities would be expected to lead to different fingermark locations. Moreover, we show that the location of fingermarks on letters provides valuable information about the activity that is carried out.

摘要

先前在本期刊上发表的一篇论文提出了一个评估二维物品上指纹位置的模型(de Ronde、van Aken、de Puit 和 de Poot(2019))。在本文中,我们将提出的模型应用于一个由信件组成的数据集,以测试基于信件上指纹的位置,是否可以根据活动是写信还是读信来区分。进行了一项实验,要求参与者分别在 A4 和 A5 大小的纸张上阅读和书写一封信。可视化信件上的指纹,将得到的图像转换为网格表示。使用二进制分类模型根据网格表示中指纹的位置将信件分类为阅读和书写活动。此外,通过测试信件长度、供体的左利手或右利手以及纸张大小对模型的影响,并结合纸张折叠的附加活动,研究了模型的局限性。结果表明,该模型可以根据右利手供体的 A4 尺寸信件上指纹的位置,以 98%的准确率预测阅读或书写信件的活动。此外,书写信件的长度和供体的利手度不会影响分类模型的性能。改变信件的尺寸并在书写后增加折叠纸张的活动会降低模型的准确性。用新数据集的一部分扩展训练集对模型的准确性有积极影响。结果表明,de Ronde、van Aken、de Puit 和 de Poot(2019)提出的模型确实可以应用于其他二维物品上,预计在这些物品上,有争议的活动会导致不同的指纹位置。此外,我们还表明,信件上指纹的位置提供了关于所执行活动的有价值的信息。

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