One-class modelling applied to ATR-FTIR spectroscopy for determining document forgeries related to paper aging
Erklaylle G C Silva1, Carolina S Silva2, M Fernanda Pimentel3
1Federal University of Pernambuco, Department of Fundamental Chemistry, Av, Jornalista Aníbal Fernandes, 50.740-560, Cidade Universitária, Recife Brazil.
Abstract:
One of the great challenges of document analysis is determining document forgeries. The present work proposes a non-destructive approach to discriminate natural and artificially aged papers using infrared spectroscopy and soft independent modeling by class analogy (SIMCA) algorithms. This is of particular interest in cases of document falsifications made by artificial aging, for this study, SIMCA, and Data-Driven SIMCA (DD-SIMCA) classification models were built using naturally aged paper samples, taken from three time periods: 1st period from 1998 to 2003; 2nd period from 2004 to 2009; and 3rd period from 2010 to 2015. Artificially aged samples (exposed to high temperature or UV radiation) were used as test sets. Promising results in detecting document falsifications related to aging were obtained. Samples artificially aged at high temperature were correctly discriminated from the authentic samples (naturally aged) with 100% accuracy. In contrast, the samples under the photodegradation process showed a lower classification performance, with results above 90%.
More Related Videos
Related Concept Videos
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
The ATR process begins by directing a beam...
IR Frequency Region: Fingerprint Region
IR and UV–Vis Spectroscopy of Aldehydes and Ketones
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
Applications of IR Spectroscopy: Overview
¹H NMR: Interpreting Distorted and Overlapping Signals
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...


