首页> 外文期刊>Forensic science international >New perspectives in the use of ink evidence in forensic science Part II. Development and testing of mathematical algorithms for the automatic comparison of ink samples analysed by HPTLC.
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New perspectives in the use of ink evidence in forensic science Part II. Development and testing of mathematical algorithms for the automatic comparison of ink samples analysed by HPTLC.

机译:法医学中使用墨水证据的新观点第二部分。开发和测试用于通过HPTLC分析的墨水样品自动比较的数学算法。

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摘要

In the first part of this research, three stages were stated for a program to increase the information extracted from ink evidence and maximise its usefulness to the criminal and civil justice system. These stages are (a) develop a standard methodology for analysing ink samples by high-performance thin layer chromatography (HPTLC) in reproducible way, when ink samples are analysed at different time, locations and by different examiners; (b) compare automatically and objectively ink samples; and (c) define and evaluate theoretical framework for the use of ink evidence in forensic context. This report focuses on the second of the three stages. Using the calibration and acquisition process described in the previous report, mathematical algorithms are proposed to automatically and objectively compare ink samples. The performances of these algorithms are systematically studied for various chemical and forensic conditions using standard performance tests commonly used in biometrics studies. The results show that different algorithms are best suited for different tasks. Finally, this report demonstrates how modern analytical and computer technology can be used in the field of ink examination and how tools developed and successfully applied in other fields of forensic science can help maximising its impact within the field of questioned documents.
机译:在本研究的第一部分,陈述了一个计划,该计划分三个阶段进行,以增加从墨迹证据中提取的信息并最大程度地提高其对刑事和民事司法系统的实用性。这些阶段是(a)当在不同的时间,位置和由不同的检查员对油墨样品进行分析时,开发一种以可重复的方式通过高性能薄层色谱(HPTLC)分析油墨样品的标准方法; (b)自动客观地比较墨水样本; (c)定义和评估在法庭环境中使用墨水证据的理论框架。本报告重点介绍三个阶段中的第二阶段。使用先前报告中描述的校准和采集过程,提出了数学算法来自动客观地比较墨水样品。使用生物识别研究中常用的标准性能测试,针对各种化学和法医条件系统地研究了这些算法的性能。结果表明,不同的算法最适合不同的任务。最后,本报告演示了如何在墨水检查领域中使用现代分析和计算机技术,以及在法医科学的其他领域中开发和成功应用的工具如何帮助最大限度地发挥其在可疑文档领域的影响。

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