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Surface classification and detection of latent fingerprints: Novel approach based on surface texture parameters

机译:潜在指纹的表面分类和检测:基于表面纹理参数的新方法

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摘要

The classification of surfaces has importance in the field of latent fingerprint detection in crime scene forensics because the adaptive preprocessing depends on the surface texture. This paper shows a novel approach to classify various materials with the help of surface texture parameters.
机译:表面的分类在犯罪现场取证中潜在的指纹检测领域具有重要意义,因为自适应预处理取决于表面纹理。本文展示了一种借助表面纹理参数对各种材料进行分类的新颖方法。

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