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Contactless automated lifting of latent fingerprints from difficult curved surfaces
Signal Processing: Image Communication ( IF 3.4 ) Pub Date : 2022-09-05 , DOI: 10.1016/j.image.2022.116858
Matthew McGuigan , Jacqueline Christmas

We present a fully automated method for contactlessly extracting latent fingerprints and correcting for surface curvature distortions. Our proposed method is rapid, automatic, zero-contact and chemical-free, and is able to obtain high quality fingerprint images from (forensically) difficult curved surfaces that are specular and/or transparent, such as glass lightbulbs and chrome water taps. Its contactless nature preserves the prints for later DNA analysis, and we demonstrate that the automatic surface curvature distortion correction improves fingerprint matching scores, often significantly, across a range of objects commonly found at a crime scene.



中文翻译:

非接触式自动从困难曲面上提取潜在指纹

我们提出了一种全自动方法,用于非接触式提取潜在指纹并校正表面曲率失真。我们提出的方法是快速、自动、零接触和无化学物质的,并且能够从(法医)镜面和/或透明的困难曲面(例如玻璃灯泡和铬水龙头)获得高质量的指纹图像。它的非接触式特性保留了指纹以供以后进行 DNA 分析,我们证明了自动表面曲率失真校正可以显着提高犯罪现场常见物体范围内的指纹匹配分数。

更新日期:2022-09-05
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