TY  - JOUR
PY  - 2013//
TI  - Establishing likelihood ratios for patterned garment comparisons from seam measurement data
JO  - Journal of forensic sciences
A1  - Johnson, D. B.
A1  - Perlin, Victor E.
A1  - Rohde, Mitchell M.
A1  - Thomas, Alice C.
A1  - Luu, Cuong Q.
A1  - Chang, Jennifer
SP  - 631
EP  - 644
VL  - 58
IS  - 3
N2  - It is often challenging to ascribe an objective measure of confidence for identifications based on surveillance imagery from a crime scene. The present work seeks to address this deficiency in the case of garment comparison evidence by developing a quantitative method for establishing a conservative lower bound on the likelihood ratio (LR) for identifications involving patterned garments. The method is based on statistical analysis of pattern offset measurements taken from a sample of garments of the same type (manufacturer, style, and size) as the seized evidence. The developed analysis framework was demonstrated on different types of garments over a range of modeled surveillance imaging scenarios with variable image quality; the lower bounds on the LRs ranged from approximately 10-1 to over 400-1. The statistical model was tested and validated through a large-scale empirical study involving both simulated and human observer-performed garment comparisons.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-1198
UR  - http://dx.doi.org/10.1111/1556-4029.12125
ID  - ref1
ER  -