Federal News
NIST Releases Fingerprint Data and Software
March 23, 2026
The National Institute of Standards and Technology (NIST) has released Special Database 302, a fully annotated fingerprint dataset, along with OpenLQM, an open-source software tool designed to enhance forensic fingerprint examination. These resources aim to improve training for human fingerprint examiners and support the development of AI algorithms, thereby increasing accuracy and efficiency in criminal investigations. This release provides procurement professionals and contractors with new opportunities to support forensic science modernization and technology integration within federal law enforcement agencies.
- Why this matters: Agencies involved in forensic and criminal investigation can leverage these tools to improve examiner training and algorithm development, potentially influencing future procurement of forensic software and data services.
- Vendors specializing in forensic technology and AI may find opportunities to integrate or build upon NISTβs open-source tools.
- Procurement teams should consider how these resources align with modernization initiatives and requirements for forensic data accuracy and validation.
- This release underscores the federal commitment to advancing forensic science through open data and software, which may impact future contract scopes and evaluation criteria.
These two resources will help improve the science of fingerprint identification.
— Greg Fiumara, NIST Computer Scientist
Agencies
National Institute of Standards and Technology, Department of the Army Criminal Investigation Divisionβs U.S. Army Criminal Investigation Laboratory