NIST · ИТ · 0dd4b1d955e8453d3521
Nonparametric Analysis of Fingerprint Data on Large Data Sets
By executing different fingerprint-image matching algorithms on large data sets, it reveals that the match and non-match similarity scores have no specific underlying distribution function. Thus, it requires a nonparametric analysis for fingerprint-image
NIST · ИТОфициальный источник · 2006-12-07
{
"title_en": "Nonparametric Analysis of Fingerprint Data on Large Data Sets",
"designation": "",
"series": "",
"status": "",
"date": "2006-12-07",
"date_original": "December 7, 2006",
"url": "https://www.nist.gov/publications/nonparametric-analysis-fingerprint-data-large-data-sets",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Charles Wilson",
"abstract_excerpt_en": "By executing different fingerprint-image matching algorithms on large data sets, it reveals that the match and non-match similarity scores have no specific underlying distribution function. Thus, it requires a nonparametric analysis for fingerprint-image",
"id": "0dd4b1d955e8453d3521",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Nonparametric Analysis of Fingerprint Data on Large Data Sets",
"designation": "",
"series": "",
"status": "",
"date": "2006-12-07",
"date_original": "December 7, 2006",
"url": "https://www.nist.gov/publications/nonparametric-analysis-fingerprint-data-large-data-sets",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Charles Wilson",
"abstract_excerpt_en": "By executing different fingerprint-image matching algorithms on large data sets, it reveals that the match and non-match similarity scores have no specific underlying distribution function. Thus, it requires a nonparametric analysis for fingerprint-image"
}
],
"translation_state": "none"
}