Recognition of explosives fingerprints on objects for courier services using machine learning methods and laser-induced breakdown spectroscopy

Article ID	Journal	Published Year	Pages	File Type
7682555	Talanta	2013	10 Pages	PDF

Abstract

âº A cutting edge method for sorting explosive fingerprints using LIBS is presented. âº Features from spectra reveal patterns to build models for classes' distribution. âº Using a decision tree improves the performance of sorting tasks (errors<10%). âº Complex and abstract interpretations as from other chemometric tools are avoided.

Keywords

LIBS Fingerprints Decision tree Machine learning

Related Topics

Physical Sciences and Engineering Chemistry Analytical Chemistry

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Recognition of explosives fingerprints on objects for courier services using machine learning methods and laser-induced breakdown spectroscopy

Authors

J. Moros, J. Serrano, F.J. Gallego, J. MacÃas, J.J. Laserna,