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Preliminary semi-quantitative evaluation of developed latent fingerprints on non-porous surface with natural powders using a densitometric image analysis
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2016, v.29 no.6, pp.283-292
https://doi.org/10.5806/AST.2016.29.6.283
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(2016). Preliminary semi-quantitative evaluation of developed latent fingerprints on non-porous surface with natural powders using a densitometric image analysis. Analytical Science and Technology, 29(6), 283-292, https://doi.org/10.5806/AST.2016.29.6.283
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Abstract
Conventional fingerprint powders used during crime scene investigations pose potential health hazards. Thus, multiple natural replacement powders, including squid ink powder, indigo and rice powder were used to develop (visualize) latent fingerprints on non-porous surfaces (e.g., glass, plastic and tile). Fingerprints developed using the natural powders were compared using the Automatic Fingerprint Identification System (AFIS) with those developed with traditional black powder. The peak areas of ridges were also compared using densitometric image analyses. Collectively, objective and quantitative evaluation methods were developed. The effectiveness of natural powders varied depending on the surface but, in general, squid ink powder performed well on most surfaces. Indigo powder performed well on tile surfaces, while rice powder performed well on glass surfaces. Plastic was the most difficult surface from which to develop fingerprints. Image analysis using Field Emission Scanning Electron Microscopy (SEM) demonstrated the importance of the size and shape of natural powder particles to properly adhere to the ridges. Although densitometric image analyses did not correlate the number of minutiae and ridge peak areas, an unbiased, objective evaluation method would be possible using image analyses with a reference image. Additional experimentation will yield safe and cost-effective natural powders with which adequate fingerprint development can be performed.
- keywords
- Latent fingerprint, Natural powders, Densitometric image analysis, Quantitative fingerprint analysis
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