Quantitative assessment of similarity between randomly acquired characteristics on high quality exemplars and crime scene impressions via analysis of feature size and shape

Quantitative assessment of similarity between randomly acquired characteristics on high quality exemplars and crime scene impressions via analysis of feature size and shape

Highlights • RAC loss varies between 33% and 100% with an average of 85%. • 64% of the crime-scene-like impressions exhibited fewer than 10 RACs. • Stochastic dominance equals 72% for RAC maps via phase only correlation. • Comparisons of >44,000 RACs with coincidental association in position. • O...

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Veröffentlicht in:Forensic science international 2017-01, Vol.270, p.211-222
Hauptverfasser: Richetelli, Nicole, Nobel, Madonna, Bodziak, William J, Speir, Jacqueline A
Format: Artikel
Sprache:eng
Schlagworte:
Accidentals
Awards & honors
Crime
Feature vectors
Footwear
Forensic sciences
Matched filters
Mathematical analysis
Mathematical models
Pathology
Prints
Quality
Randomly acquired characteristics
Shape descriptors
Shape recognition
Shoeprints
Similarity
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Beschreibung
Zusammenfassung:Highlights • RAC loss varies between 33% and 100% with an average of 85%. • 64% of the crime-scene-like impressions exhibited fewer than 10 RACs. • Stochastic dominance equals 72% for RAC maps via phase only correlation. • Comparisons of >44,000 RACs with coincidental association in position. • Of all metrics tested, MF expressed the least dependence on RAC shape and size.
ISSN:0379-0738
1872-6283
DOI:10.1016/j.forsciint.2016.10.008