刑事技术2024，Vol.49Issue(5)：507-513,7.DOI:10.16467/j.1008-3650.2023.0091
基于近红外光谱技术和极限学习机算法的血迹种属快速鉴定
Rapid Identification of Bloodstain Based on Near Infrared Spectroscopy and Extreme Learning Machine Algorithm
摘要
Abstract
Bloodstain is one of the most important forensic evidences in criminal cases.How to identify the bloodstains and obtain some potential evidence is of great significance to solve the criminal case.In this paper,a hand-held near-infrared(NIR)spectrometer was used to collect the spectral data of different species of bloodstains samples on cotton fabrics with different colors including human blood,chicken blood and pig blood.After collecting the spectral data,standard normal variables(SNV)pre-processing operation was implemented on the spectral data to eliminate the common offset and scaling effects.Then,the training models were established via extreme learning machine(ELM)algorithm to identify the species of bloodstain.Next,the testing samples were predicted by means of using the built specie identification bloodstain model.Meanwhile,the traditional support vector machine(SVM)and genetic algorithm-back propagation(GA-BP)classification algorithms were also used to build the identification model and the prediction results were also compared with ELM algorithm.The experimental results showed that the prediction accuracy of ELM algorithm was 98.48%,which was higher than that of GA-BP algorithm(84.62%)and SVM algorithm(73.84%).Meanwhile,the precision,sensitivity and specificity of the prediction results using ELM algorithm were also much higher than those of SVM and GA-BP algorithms.The above results showed that the accuracy of the identification model built by ELM algorithm was the highest and the overall performance of the model was the best.The research results of the paper showed that he rapid detection method based on a handheld NIR spectrometer and ELM algorithm could identify the types of the bloodstains efficiently,non-destructively,quickly and accurately and it provided a new technical reference for bloodstains detection and identification in criminal cases.关键词
近红外/极限学习机/血迹种属/无损/快速Key words
near-infrared/extreme learning machine/bloodstain species/non-destructive/rapidly分类
社会科学引用本文复制引用
毕福轮,王伟,祁月莹,谢嘉懿,纳嫚,吴加权,梁莹,张建强..基于近红外光谱技术和极限学习机算法的血迹种属快速鉴定[J].刑事技术,2024,49(5):507-513,7.基金项目
云南警官学院物证光谱技术省创新团队(202105AE160007) （202105AE160007）
云南省刑事科学技术重点实验室开放课题(2020zz02) （2020zz02）
