This study presents a novel approach to the forensic identification of human tears from various ethnic groups in China using portable infrared spectral analysis combined with swarm intelligence algorithms. By leveraging advanced machine learning and spectral fingerprinting, this method offers a non-invasive, efficient, and highly accurate tool for personal and ethnic identification, contributing to the fields of forensic science, biochemical analysis, and ethnic studies.
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