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Infrared Spectroscopic Imaging for Noninvasive Detection of Latent Fingerprints
Author(s) -
Crane Nicole J.,
Bartick Edward G.,
Perlman Rebecca Schwartz,
Huffman Scott
Publication year - 2007
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2006.00330.x
Subject(s) - 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 , mathematical analysis , arithmetic
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.