A large-scale statistical analysis of barefoot impressions

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A large-scale statistical analysis of barefoot impressions Kennedy RB, Chen S, Pressman IS, Yamashita AB, Pressman AE
Download this paper for $25 PDF (296K) View License Agreement Source: JFS (August 2005)

Abstract
In an earlier paper, outlines of footprints of persons walking normally were studied to determine whether different people make verifiably distinct footprints. Our basic null hypothesis is: given a footprint outline trace made by Subject A (Alice), then Subject B (Bob), a distinct person, cannot produce a footprint outline trace indistinguishable from that of Alice. We showed in the previous work that the probability of a chance match is less than 10^-8. In this paper we report two new advances in our research. First, we establish a rigorous mathematical framework for calculating worstcase and average chance-match probabilities. Second, we repeat the previous experiment to substantiate the earlier results, but with an expanded population sample size and a more representative and significantly bigger repeated sample. These improvements and a new automated tracing procedure for extracting all numerical measures lead to a sharpened accuracy with average chance match probabilities of 7.88×10^-10 for a general population. In other words, the odds of a chance match are one in 1.27 billion.

Keywords:
barefoot impressions, forensic science, principal component analysis
ISSN: 0022-1198
Paper ID: JFS2004277
DOI: 10.1520/JFS2004277

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Author Kennedy RB, Chen S, Pressman IS, Yamashita AB, Pressman AE Title A large-scale statistical analysis of barefoot impressions Symposium , Committee on

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