JOURNAL ARTICLE

Infrared Spectroscopic Imaging for Noninvasive Detection of Latent Fingerprints

Abstract

ABSTRACT: The capability of Fourier transform infrared (FTIR) spectroscopic imaging to provide detailed images of unprocessed latent fingerprints while also preserving important trace evidence is demonstrated. Unprocessed fingerprints were developed on various porous and nonporous substrates. Data‐processing methods used to extract the latent fingerprint ridge pattern from the background material included basic infrared spectroscopic band intensities, addition and subtraction of band intensity measurements, principal components analysis (PCA) and calculation of second derivative band intensities, as well as combinations of these various techniques. Additionally, trace evidence within the fingerprints was recovered and identified.

Keywords:
Fingerprint (computing) Chemical imaging Infrared Principal component analysis Pattern recognition (psychology) Subtraction Fourier transform infrared spectroscopy Artificial intelligence Fourier transform Materials science Analytical Chemistry (journal) Computer science Chemistry Optics Chromatography Hyperspectral imaging Mathematics Physics

Metrics

141
Cited By
12.88
FWCI (Field Weighted Citation Impact)
32
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Forensic Fingerprint Detection Methods
Social Sciences →  Social Sciences →  Safety Research
Spectroscopy Techniques in Biomedical and Chemical Research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Biophysics
Forensic and Genetic Research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Genetics

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