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NIST Fingerprint Image Quality 2

NIST Fingerprint Image Quality (NFIQ) 2 is open source software that links image quality of optical and ink 500 PPI fingerprints to operational recognition performance. This allows quality values to be tightly defined and then numerically calibrated, which in turn allows for the standardization needed to support a worldwide deployment of fingerprint sensors with universally interpretable image qualities.

About this Dataset

Updated: 2024-09-06
Metadata Last Updated: 2021-11-12 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Table representation of structured data
Title NIST Fingerprint Image Quality 2
Description NIST Fingerprint Image Quality (NFIQ) 2 is open source software that links image quality of optical and ink 500 PPI fingerprints to operational recognition performance. This allows quality values to be tightly defined and then numerically calibrated, which in turn allows for the standardization needed to support a worldwide deployment of fingerprint sensors with universally interpretable image qualities.
Modified 2021-11-12 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords fingerprint , quality
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    "title": "NIST Fingerprint Image Quality 2",
    "description": "NIST Fingerprint Image Quality (NFIQ) 2 is open source software that links image quality of optical and ink 500 PPI fingerprints to operational recognition performance. This allows quality values to be tightly defined and then numerically calibrated, which in turn allows for the standardization needed to support a worldwide deployment of fingerprint sensors with universally interpretable image qualities.",
    "language": [
        "en"
    ],
    "distribution": [
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            "description": "GitHub repository for source code",
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    "modified": "2021-11-12 00:00:00",
    "publisher": {
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        "name": "National Institute of Standards and Technology"
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    "theme": [
        "Information Technology:Biometrics"
    ],
    "keyword": [
        "fingerprint",
        "quality"
    ]
}