Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches

Abstract

A novel technique is reported for separating overlapping latent fingerprints using chemometric approaches that combine laser-induced breakdown spectroscopy (LIBS) and multivariate analysis. The LIBS technique provides the capability of real time analysis and high frequency scanning as well as the data regarding the chemical composition of overlapping latent fingerprints. These spectra offer valuable information for the classification and reconstruction of overlapping latent fingerprints by implementing appropriate statistical multivariate analysis. The current study employs principal component analysis and partial least square methods for the classification of latent fingerprints from the LIBS spectra. This technique was successfully demonstrated through a classification study of four distinct latent fingerprints using classification methods such as soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA). The novel method yielded an accuracy of more than 85% and was proven to be sufficiently robust. Furthermore, through laser scanning analysis at a spatial interval of 125 µm, the overlapping fingerprints were reconstructed as separate two-dimensional forms.

A importância da papiloscopia na identificação de vítimas de acidentes de massa

“…A tecnologia vem sendo utilizada para acurar a resolução de leitores biométricos e, por meio de técnicas de espectroscopia e espectrometria para discriminar amostras em sobreposição ou em superfícies de difícil análise [23,24].…”

Laser Induced-Breakdown Spectroscopy (Libs): Histórico, Fundamentos, Aplicações E Potencialidades

“…68 A utilização dessas ferramentas são indispensáveis quando o objetivo é usar as informações espectrais para proposição de modelos de classificação. As ferramentas referidas foram empregadas com sucesso na proposição de modelos de classificação para amostras de ligas metálicas, 43 polímeros, 44 couros, 86 cosméticos, 87 pinturas pré-histórica, 88 forense, 89 rochas vulcânicas 90 entre outros. [91][92][93] Os métodos não supervisionados de reconhecimento de padrões, como a principal component analysis (PCA) e hierarchical cluster analysis (HCA) também são empregados.…”

Feature‐level fusion of laser‐induced breakdown spectroscopy and Raman spectroscopy for improving support vector machine in clinical bacteria identification

“…Laser‐induced breakdown spectroscopy (LIBS) and Raman spectroscopy are two famous spectral techniques because of their advantages in rapid, online, and in‐site detection. [ 1,2 ] As a new elemental detection method, LIBS has been used in identification of many kinds of substance with chemometrics, for instance, biomedical samples, [ 3–5 ] forensic evidences, [ 6–9 ] explosives, [ 10 ] plants, [ 11 ] alloy, [ 12 ] ore, [ 13 ] nutrient food, [ 14–16 ] and pathogenic microorganisms. [ 17 ] However, for substances with the same elemental composition, the feature line wavelengths are always similar.…”