Kim Hong Taek

Feature selection of Raman spectra for forensic document examination using machine learning Forensics relies on the differentiation and classification of document papers, particularly in cases involving document forgery and fraud. In this study, document paper is classified by integrating Raman spectroscopy with machine learning models, namely, random forest (RF), support vector machines (SVMs), and feed-forward neural networks (FNNs).