This paper demonstrates that, for large-scale tests, the match and non-match similarity scores have no specific underlying distribution function. The forms of these distribution functions require a nonparametric approach for the analysis of the fingerprint
{
"title_en": "Document Understanding Conferences Website",
"designation": "",
"series": "",
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"date": "2002-07-01",
"date_original": "July 1, 2002",
"url": "https://www.nist.gov/publications/document-understanding-conferences-website",
"source": "NIST Publications",
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"authors_en": "Ellen M. Voorhees",
"abstract_excerpt_en": "This paper demonstrates that, for large-scale tests, the match and non-match similarity scores have no specific underlying distribution function. The forms of these distribution functions require a nonparametric approach for the analysis of the fingerprint",
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{
"title_en": "Document Understanding Conferences Website",
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"date": "2002-07-01",
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"authors_en": "Ellen M. Voorhees",
"abstract_excerpt_en": "This paper demonstrates that, for large-scale tests, the match and non-match similarity scores have no specific underlying distribution function. The forms of these distribution functions require a nonparametric approach for the analysis of the fingerprint"
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