{
    "identifier": "ark:\/88434\/mds2-4279",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Kenneth Ko"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-4279",
    "title": "Fingerprint Minutiae Viewer 2.0 (FpMV2)",
    "description": "The Fingerprint Minutiae Viewer 2.0 (FpMV2) is a cross-platform GUI application that is distributed and developed by the National Institute of Standards and Technology (NIST). The goal of this software is to provide researchers with a tool for viewing a fingerprint image with minutiae points overlaid on top of the fingerprint. The minutiae detection is based on the \"mindtct\" application from the NIST Biometric Image Software (NBIS).",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-4279\/FpMV2-Windows-x64_v1.0.zip",
            "description": "FpMV2 v1.0 Windows",
            "mediaType": "application\/zip",
            "title": "FpMV2-Windows-x64_v1.0.zip"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-4279\/FpMV2_README_v1.0.md",
            "mediaType": "text\/markdown",
            "title": "FpMV2_README_v1.0.md"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-4279\/FpMV2-macOS_arm_arch_v1.0.dmg",
            "mediaType": "application\/x-apple-diskimage",
            "title": "FpMV2-macOS_arm_arch_v1.0"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-4279\/FpMV2-Ubuntu-x86_64_v1.0.AppImage",
            "mediaType": "application\/octet-stream",
            "title": "FpMV2-Ubuntu-x86_64_v1.0"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2026-07-29 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Information Technology:Biometrics",
        "Information Technology:Visualization research"
    ],
    "keyword": [
        "Biometrics",
        "Fingerprint",
        "Image Analysis",
        "Fingerprint Minutiae"
    ]
}