Journal
JOURNAL OF FORENSIC SCIENCES
Volume 53, Issue 2, Pages 369-376Publisher
WILEY
DOI: 10.1111/j.1556-4029.2007.00649.x
Keywords
forensic science; fingerprints; chemical composition; fourier transform infrared spectroscopy; principal component analysis; least-squares analysis; age determination; biometrics
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To determine if changes in fingerprint infrared spectra linear with age can be found, partial least squares (PLS1) regression of 155 fingerprint infrared spectra against the person's age was constructed. The regression produced a linear model of age as a function of spectrum with a root mean square error of calibration of less than 4 years, showing an inflection at about 25 years of age. The spectral ranges emphasized by the regression do not correspond to the highest concentration constituents of the fingerprints. Separate linear regression models for old and young people can be constructed with even more statistical rigor. The success of the regression demonstrates that a combination of constituents can be found that changes linearly with age, with a significant shift around puberty.
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