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通过连续沉积金和锌/硫化锌/氧化锌增强粗糙铝表面潜在指纹的可视化

Enhanced Visualization of Latent Fingermarks on Rough Aluminum Surfaces Using Sequential Au and Zn/ZnS/ZnO Depositions.

作者信息

Tiwari Anjani Kumar, Alaoui Ismail Mekkaoui, Guddala Sriram, Ramakrishna S Anantha

机构信息

Department of Physics, Indian Institute of Technology Kanpur, Kanpur, 208016, India.

Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, 40000, Morocco.

出版信息

J Forensic Sci. 2018 Jul;63(4):1275-1281. doi: 10.1111/1556-4029.13686. Epub 2017 Nov 3.

Abstract

Detection and visualization of fingermarks on rough and diffuse surfaces is a relatively challenging task. We succeeded in developing latent fingermarks on scratched and rough aluminum surfaces by sequential deposition of a thin layer of gold followed by one of zinc or zinc-based compounds on the fingermarks. The best image enhancement was achieved with sequential Au and ZnS depositions. Using this combination, we could enhance the visualization of latent fingermarks aged over 65 days in normal conditions. The optical reflectance from the fingermarks with the deposited layers of metal/dielectric is analyzed as a stratified medium. Significant contrast in the reflectance from the regions of the ridges and the valleys of the fingermark would enhance the visualization. Our results show that the Au and ZnS bi-layer combination can have a large reflection contrast and improved fingermark visualization at wavelengths corresponding to the green light for specific thickness of ZnS.

摘要

在粗糙和漫反射表面上检测和可视化指纹是一项相对具有挑战性的任务。我们通过在指纹上依次沉积一层薄金,然后再沉积一层锌或锌基化合物,成功地在刮擦和粗糙的铝表面上显露出潜在指纹。通过依次沉积金和硫化锌实现了最佳的图像增强效果。使用这种组合,我们可以增强在正常条件下超过65天的潜在指纹的可视化效果。将带有金属/电介质沉积层的指纹的光反射率作为分层介质进行分析。指纹脊部和谷部区域反射率的显著差异会增强可视化效果。我们的结果表明,对于特定厚度的硫化锌,金和硫化锌双层组合在对应于绿光的波长处可以具有较大的反射对比度并改善指纹可视化效果。

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