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In July of 2009 NIST in partnership with the FBI commenced an investigation on the use of JPEG 2000 for compressing fingerprint imagery with the ultimate goal
Performance of biometric systems is dependent on the quality of the acquired input samples. If quality can be improved, either by sensor design, by user
https://github.com/NIST-BWS/wsabi2 Combining biometrics and web services to enable multimodal biometric interoperability and enhance mobile identification and
The Face Recognition Algorithm Independent Evaluation (CHEXIA-FACE) is being conducted to assess the capability of face detection and recognition algorithms to
This project is addressing the following issues: data format standards, best practices, development of methods for certification testing, and interoperability
This project uses community evaluations to build the infrastructure required to evaluate system effectiveness on information access tasks. In particular, the
The NIST Information Access Division (IAD) initiated a Data Science Research Program (DSRP) aimed to advance the measurement science for big data and data
Video evidence from Closed Circuit Television (CCTV) Digital Video Recording (DVR) systems is a powerful resource for forensic investigations. Industry lacks a
The goal of this project is to utilize NIST expertise in privacy, cybersecurity, machine learning, wireless technology, ranging, modeling, and hardware and
The goal of the Face and Ocular Challenge Series (FOCS) is to engage the research community to develop robust face and ocular recognition algorithms along a
The primary goal of the FRGC was to promote and advance face recognition technology designed to support existing face recognition efforts in the U.S. Government
The goal of the sponsored research was to develop face recognition algorithms. The FERET database was collected to support the sponsored research and the FERET
The Face in Video Evaluation (FIVE) is being conducted to assess the capability of face recognition algorithms to correctly identify or ignore persons appearing
The evaluation of Fast Tenprint Capture devices is threefold. The first is the absolute measurement, i.e., stipulating the specifications and designing targets
The Fingerprint Vendor Technology Evaluation (FpVTE) is an independently administered technology evaluation of fingerprint matching, identification, and