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Detection of malicious traces in crime scene forensics: An enhanced optical dot pattern analysis for untreated traces of printed amino acid residues

机译:犯罪现场取证中恶意痕迹的检测:印刷氨基酸残基未处理痕量的增强光点图谱分析

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The detection of malicious traces in crime scene forensics is a necessity to rule out false accusations. In 2009 Schwarz [1] showed an approach for printing amino acids that, in theory, allows for the placement of malicious traces. In [2] first examination and detection properties for printed finger-prints are introduced. In this paper, we extend the examination properties with printing and acquisition sensor direction. We perform enhanced tests for untreated samples (real fingerprints and printed fingerprints) for the dot cause analysis of printed amino acid residues, using a new concept for the potential dot causes. Our findings confirm the detection properties from [2] for untreated fingerprints and contain an extension by dot sizes and ink spatters, which support an estimation of the printing direction. Additionally, we show here that dust can be identified within a scan sample. These detection properties allow for a better distinction between real and printed fingerprints.
机译:在犯罪现场取证中的恶意迹线检测是要排除错误指控的必要条件。 2009年,Schwarz [1]显示了一种印刷氨基酸的方法,理论上允许放置恶意痕迹。在[2]中,介绍了印刷手指印刷的第一次检查和检测性能。在本文中,我们通过印刷和采集传感器方向扩展了检查性能。我们对未经处理的样品(真实指纹和印刷指纹)对印刷氨基酸残基进行了增强的试验,使用新概念进行潜在点原因。我们的研究结果证实了从[2]的检测特性,用于未经处理的指纹,并含有点尺寸和墨水溅射的延伸,这支持估计印刷方向。此外,我们在此显示灰尘可以在扫描样品中识别。这些检测属性允许更好地区分真实和印刷的指纹。

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