刑事技术2026，Vol.51Issue(2)：156-161,6.DOI:10.16467/j.1008-3650.2025.0006
分光光度结合高光谱成像区分印泥(油)种类
Distinguishing Types of Stamp Pad Ink by Spectrophotometry Combining with Hyperspectral Imaging
摘要
Abstract
This study aims to explore the use of spectrophotometry and hyperspectral imaging technology combined with machine learning to effectively distinguish the types of stamp pad ink.Hyperspectral data and chromaticity values of 27 stamp pad ink samples from different brands and models were collected.Principal component analysis(PCA)was applied to the average chromaticity data for dimensionality reduction,and K-Means cluster analysis was used to successfully classify the ink samples into four categories.Subsequently,four classification models,namely LightGBM(light gradient boosting machine),XGBoost(extreme gradient boosting),SVM(support vector machine)and KNN(K-nearest neighbor)were used.The test set and training set were determined at a ratio of 1∶4,and the samples of each category in the results of cluster analysis were identified one by one.The results showed that the SVM model,LightGBM model,and XGBoost model performed well.Specifically,SVM achieved 100％accuracy for sample classification in categories Ⅰ,Ⅱ,and Ⅲ,and 98.3％for sample Ⅳ.This study provides a new method for quickly and accurately identifying the types of stamp pad ink.关键词
印泥(油)/分光光度/高光谱成像/机器学习/色度值/种类区分Key words
stamp pad ink/spectrophotometry/hyperspectral imaging/machine learning/chromaticity value/species identification分类
社会科学引用本文复制引用
付沛,张程,李硕,崔岚,杨尚鹏..分光光度结合高光谱成像区分印泥(油)种类[J].刑事技术,2026,51(2):156-161,6.基金项目
国家重点研发计划(2016YFC0800705) （2016YFC0800705）
公安部科技强警基础工作专项(2022JC03) （2022JC03）
中国刑事警察学院研究生创新能力提升项目(2023YCZD07) （2023YCZD07）
