@article{ref1,
title="Establishing likelihood ratios for patterned garment comparisons from seam measurement data",
journal="Journal of forensic sciences",
year="2013",
author="Johnson, D. B. and Perlin, Victor E. and Rohde, Mitchell M. and Thomas, Alice C. and Luu, Cuong Q. and Chang, Jennifer",
volume="58",
number="3",
pages="631-644",
abstract="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>",
language="en",
issn="0022-1198",
doi="10.1111/1556-4029.12125",
url="http://dx.doi.org/10.1111/1556-4029.12125"
}