Black Box Evaluation of Hand Detail Image Comparisons
15PNIJ-24-GG-03846-NIJB
Open
Funding First Awarded
2024
$746,866
Palm prints
Learning kernel expansions for image classification
Date Published
2007
Agencies
NIJ-Sponsored
Parameterized kernel principal component analysis: Theory and applications to supervised and unsupervised image alignment
Date Published
2008
Agencies
NIJ-Sponsored
Face de-identification
Date Published
2009
Agencies
NIJ-Sponsored
Robust hand geometry measurements for person identification using active appearance models
Date Published
2007
Agencies
NIJ-Sponsored
New directions in contact free hand recognition
Date Published
2007
Agencies
NIJ-Sponsored
Testing the Accuracy and Reliability of Palmar Friction Ridge Comparisons: A Black Box Study, Full Report
Date Published
May 2020
Publication Type
Report (Grant Sponsored),
Research (Applied/Empirical)
Agencies
NIJ-Sponsored
Testing the Accuracy and Reliability of Palmar Friction Ridge Comparisons: A Black Box Study
Date Published
2021
Publication Type
Research (Applied/Empirical)
Agencies
NIJ-Sponsored
Results of a Black Box Study on the Accuracy and Reliability of Palm Print Comparisons
Event Dates
–
Location
Online
Event Type
Web
Registration Status
Open
Testing the Accuracy and Reliability of Palmar Friction Ridge Comparisons: A Black Box Study
2017-DN-BX-0170
Closed
Funding First Awarded
2017
$370,454
Development of Individual Handwriting Characteristics in ~1800 Students: Statistical Analysis and Likelihood Ratios That Emerge Over an Extended Period of Time
Date Published
May 2016
Publication Type
Research (Applied/Empirical),
Report (Study/Research),
Report (Grant Sponsored)
Agencies
NIJ-Sponsored
How Reliable Are Latent Fingerprint Examiners?
Date Published
September 2015
Publication Type
Research (Applied/Empirical),
Report (Study/Research),
Presentation (Multimedia),
Instructional Material (Programmed)
Agencies
NIJ
How Reliable Are Latent Fingerprint Examiners?
September 2015
Brian Cerchiai discusses a NIJ-supported a study conducted by the Miami-Dade Police Department on the accuracy of fingerprint examiners. The study found that fingerprint examiners make extremely few errors. Even when examiners did not get an independent second opinion about their decisions, they were remarkably accurate. But when decisions were verified by an independent reviewers, examiners had a 0% false positive, or incorrect identification, rate and a 3% false negative, or missed identification, rate.
Review the YouTube Terms of Service and the Google Privacy Policy
Nevada Forensic Science Improving Quality through Education
2015-CD-BX-0058
Closed
Funding First Awarded
2015
$66,679
ACEware Latent Fingerprint Identification Research and Software Development
2013-R2-CX-K011
Closed
Funding First Awarded
2014
$999,906
Automatic Fingerprint Matching Using Extended Feature Set
Date Published
August 2010
Publication Type
Report (Study/Research)
Agencies
NIJ-Sponsored
HandShot ID: A Fast 3-D Imaging System for Capturing Fingerprints, Palm Prints, and Hand Geometry
2005-IJ-CX-K046
Closed
Funding First Awarded
2007
$760,000
Fast Capture Fingerprint/Palm Print Technology
2005-IJ-CX-K067
Closed
Funding First Awarded
2004
$1,800,597
HandShot ID: A Fast 3-D Imaging System for Capturing Fingerprints, Palm Prints and Hand Geometry
2005-IJ-CX-K046
Closed
Funding First Awarded
2004
$773,341
Crime Laboratory Improvement Project
2004-RC-CX-K021
Closed
Funding First Awarded
2004
$29,805
FAST CAPTURE FINGERPRINT/PALM PRINT TECHNOLOGY
Closing Date
FAST CAPTURE FINGERPRINT/PALM PRINT TECHNOLOGY
Evaluating the Feasibility and Utility of Forms-Scanning Software for Streamlining Crime Mapping Data Collection & Analysis: Final Report
Date Published
July 2001
Publication Type
Research (Applied/Empirical)
Agencies
NIJ-Sponsored